Triple

T8417758
Position Surface form Disambiguated ID Type / Status
Subject Otto the Orange E198769 entity
Predicate represents P129 FINISHED
Object Syracuse Orange E231721 NE 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: Syracuse Orange | Statement: [Otto the Orange, represents, Syracuse Orange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse Orange
Context triple: [Otto the Orange, represents, Syracuse Orange]
  • A. Syracuse Orange chosen
    Syracuse Orange is the collective name for the athletic teams representing Syracuse University in NCAA Division I sports.
  • B. NYU Violets
    NYU Violets is the collective name for the athletic teams representing New York University in intercollegiate sports.
  • C. Cornell Big Red
    Cornell Big Red is the collective name for the varsity athletic teams representing Cornell University in NCAA Division I competition.
  • D. Syracuse University
    Syracuse University is a private research university in Syracuse, New York, known for its strong programs in communications, public affairs, and law.
  • E. NYU Bobcat
    The NYU Bobcat is the official costumed mascot of New York University, representing the school’s athletic teams and campus spirit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c66b5c8190b9515f55dc08ac03 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ce5bfe481909e05c6a34e10ae16 completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:06 p.m.