Triple

T461575
Position Surface form Disambiguated ID Type / Status
Subject equivalence principle E7349 entity
Predicate violationsSearchedIn P14241 FINISHED
Object alternative theories of gravity 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: alternative theories of gravity | Statement: [equivalence principle, violationsSearchedIn, alternative theories of gravity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: violationsSearchedIn
Context triple: [equivalence principle, violationsSearchedIn, alternative theories of gravity]
  • A. violatedPrinciple
    Indicates that an entity has broken, disregarded, or acted contrary to a specified rule, norm, or guiding principle.
  • B. investigatedBy
    Indicates that an entity is the subject of an investigation carried out by another entity.
  • C. finds
    Indicates that one entity discovers, locates, or comes upon another entity, often as the result of a search or encounter.
  • D. numberOfConvictions
    Indicates the count of times an entity has been formally found guilty of an offense.
  • E. enforcedLaw
    Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbed5b88190a45716812eb4cfdf completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede8eac081908dffade6a5e7950b completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2ef06d2fc8190b379d575215a8518 completed Feb. 28, 2026, 1:35 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.