Triple

T15986325
Position Surface form Disambiguated ID Type / Status
Subject Rutgers University (historical men’s rowing member) E387703 entity
Predicate raceDistanceStandard P20127 FINISHED
Object 2000 meters 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: 2000 meters | Statement: [Rutgers University (historical men’s rowing member), raceDistanceStandard, 2000 meters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: raceDistanceStandard
Context triple: [Rutgers University (historical men’s rowing member), raceDistanceStandard, 2000 meters]
  • A. raceDistanceType
    Indicates the specific type or category of distance over which a race is conducted.
  • B. raceDistanceApprox
    Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
  • C. majorRaceDistance chosen
    Indicates the standard or primary distance over which a major race or competition is contested.
  • D. typicalRaceDistanceUnit
    Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
  • E. distanceStandard
    Indicates that a specified distance between entities is measured or evaluated according to a particular standard or reference criterion.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4e871c819082d7b1c1eaf5b4fe completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.