Triple

T209995
Position Surface form Disambiguated ID Type / Status
Subject Proto-Celtic E4692 entity
Predicate hasPhonologicalChange P9128 FINISHED
Object loss of Proto-Indo-European laryngeals LITERAL FINISHED

How this triple was built (2 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: loss of Proto-Indo-European laryngeals | Statement: [Proto-Celtic, hasPhonologicalChange, loss of Proto-Indo-European laryngeals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhonologicalChange
Context triple: [Proto-Celtic, hasPhonologicalChange, loss of Proto-Indo-European laryngeals]
  • A. hasPhonemicContrast
    Indicates that two or more speech sounds are distinguished in a language by differences that change word meaning.
  • B. hasPronunciationDifferenceFrom
    Indicates that two linguistic items differ in how they are pronounced.
  • C. hasPhonologicalType
    Indicates that one entity is characterized by or classified as having a particular phonological type (e.g., in terms of sound structure or phonological category).
  • D. hasPhoneme
    Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
  • E. hasPhonemeInventory
    Indicates that an entity possesses a specific set or system of distinct speech sounds (phonemes) used in its language.
  • F. None of above. chosen

Provenance (4 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d35aa288190966b6e15af1525cb completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b4f71b88190866c8262922ae204 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25d3463648190ac716d7475378536 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.