Triple

T3458332
Position Surface form Disambiguated ID Type / Status
Subject Old Norse morphology E72960 entity
Predicate hasAdjectiveDeclensionType P48359 FINISHED
Object strong adjective declension 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: strong adjective declension | Statement: [Old Norse morphology, hasAdjectiveDeclensionType, strong adjective declension]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdjectiveDeclensionType
Context triple: [Old Norse morphology, hasAdjectiveDeclensionType, strong adjective declension]
  • A. hasAdjectiveEnding
    Indicates that something possesses or is marked by a particular adjective-like ending or suffix.
  • B. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • C. hasAdverbEnding
    Indicates that something (typically a word) ends with a suffix or form characteristic of an adverb.
  • D. hasNounEnding
    Indicates that something possesses or exhibits a particular noun-forming ending or suffix.
  • E. hasDefinitenessDistinction
    Indicates that a language or system grammatically distinguishes between definite and indefinite (or otherwise specified) reference in its expressions.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae36e748190bf20fd3c6de22e19 completed March 8, 2026, 6:07 p.m.
PD Predicate disambiguation batch_69adae041d588190a84a02bca94adec8 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:16 p.m.