Triple

T517600
Position Surface form Disambiguated ID Type / Status
Subject Standard Theory of generative grammar E10741 entity
Predicate historicalStageOf P9657 FINISHED
Object development of generative grammar 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: development of generative grammar | Statement: [Standard Theory of generative grammar, historicalStageOf, development of generative grammar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalStageOf
Context triple: [Standard Theory of generative grammar, historicalStageOf, development of generative grammar]
  • A. stageOf chosen
    Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
  • B. historicalState
    Indicates that an entity existed in a particular state or condition during a specified time in the past.
  • C. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • D. historicalPeriodOfSignificance
    Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
  • E. historicalAssessment
    Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
  • F. None of above.

Provenance (3 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f0151e8c81909a82b58ac0515eba completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.