Triple

T26132
Position Surface form Disambiguated ID Type / Status
Subject American Society of Civil Engineers E522 entity
Predicate professionRepresented P629 FINISHED
Object civil engineer 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: civil engineer | Statement: [American Society of Civil Engineers, professionRepresented, civil engineer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: professionRepresented
Context triple: [American Society of Civil Engineers, professionRepresented, civil engineer]
  • A. organizationAssociatedWith chosen
    Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
  • B. advocates
    Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
  • C. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • D. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • E. worksWith
    Indicates that two entities collaborate or perform tasks together in a shared work-related context.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246d794448190bb2844fcd0538eaa completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a24657635881908f3415bc1bdfa1b5 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.