Triple

T806653
Position Surface form Disambiguated ID Type / Status
Subject Lombardic E17451 entity
Predicate hasFeature P182 FINISHED
Object High German consonant shift
The High German consonant shift was a major sound change in early Germanic dialects that transformed the consonant system and helped distinguish High German (and related varieties like Lombardic) from other West Germanic languages.
E95783 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: High German consonant shift | Statement: [Lombardic, hasFeature, High German consonant shift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High German consonant shift
Context triple: [Lombardic, hasFeature, High German consonant shift]
  • A. Grimm's law
    Grimm's law is a fundamental linguistic principle describing the systematic consonant shifts that distinguish the Germanic languages from other Indo-European branches.
  • B. Ingvaeonic nasal spirant law
    Ingvaeonic nasal spirant law is a historical sound change in early Germanic languages that caused the loss of nasal consonants before fricatives, leaving characteristic vowel changes in Anglo-Frisian and related dialects.
  • C. Verner's law
    Verner's law is a historical linguistic principle explaining a systematic set of consonant alternations in the Germanic languages that refined and expanded upon Grimm's law.
  • D. Old Norse phonology
    Old Norse phonology is the sound system of the Old Norse language, characterized by a rich set of vowels, consonant clusters, and distinctive prosodic features that influenced the phonologies of modern North Germanic languages.
  • E. The Sound Pattern of English
    The Sound Pattern of English is a foundational 1968 work in generative phonology by Noam Chomsky and Morris Halle that systematically analyzes the phonological component of grammar within the framework of transformational-generative linguistics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: High German consonant shift
Triple: [Lombardic, hasFeature, High German consonant shift]
Generated description
The High German consonant shift was a major sound change in early Germanic dialects that transformed the consonant system and helped distinguish High German (and related varieties like Lombardic) from other West Germanic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: High German consonant shift
Target entity description: The High German consonant shift was a major sound change in early Germanic dialects that transformed the consonant system and helped distinguish High German (and related varieties like Lombardic) from other West Germanic languages.
  • A. Grimm's law
    Grimm's law is a fundamental linguistic principle describing the systematic consonant shifts that distinguish the Germanic languages from other Indo-European branches.
  • B. Ingvaeonic nasal spirant law
    Ingvaeonic nasal spirant law is a historical sound change in early Germanic languages that caused the loss of nasal consonants before fricatives, leaving characteristic vowel changes in Anglo-Frisian and related dialects.
  • C. Verner's law
    Verner's law is a historical linguistic principle explaining a systematic set of consonant alternations in the Germanic languages that refined and expanded upon Grimm's law.
  • D. Old Norse phonology
    Old Norse phonology is the sound system of the Old Norse language, characterized by a rich set of vowels, consonant clusters, and distinctive prosodic features that influenced the phonologies of modern North Germanic languages.
  • E. The Sound Pattern of English
    The Sound Pattern of English is a foundational 1968 work in generative phonology by Noam Chomsky and Morris Halle that systematically analyzes the phonological component of grammar within the framework of transformational-generative linguistics.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aac1142881908f6f78bfdb887930 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68927ba948190999fd1459dd62cca completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a6dcb16cf4819084f28de3328a0073 completed March 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69a75e9333e48190914827eb0267abd0 completed March 3, 2026, 10:20 p.m.
Created at: March 1, 2026, 7:38 p.m.