Triple

T32254466
Position Surface form Disambiguated ID Type / Status
Subject Manhattan Life Insurance Building E823973 entity
Predicate surpassed P42712 FINISHED
Object New York World Building NE NERFINISHED

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: New York World Building | Statement: [Manhattan Life Insurance Building, surpassed, New York World Building]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surpassed
Context triple: [Manhattan Life Insurance Building, surpassed, New York World Building]
  • A. surpasses chosen
    Indicates that one entity exceeds or goes beyond another in degree, quality, performance, or achievement.
  • B. overcomes
    Indicates that one entity successfully prevails against, defeats, or gains control over another entity or opposing force.
  • C. overtook
    Indicates that one entity moved past and ahead of another that was previously in front, typically while both were in motion.
  • D. surpassedStructure
    Indicates that one entity has exceeded or gone beyond another entity in terms of structural capacity, performance, or advancement.
  • E. superior
    Indicates that one entity holds a higher rank, status, or level of authority than another entity.
  • 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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc52a83481909b3a4a9f8181b4bd completed May 3, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:41 a.m.