Triple

T8418159
Position Surface form Disambiguated ID Type / Status
Subject Rutgers fight songs E198779 entity
Predicate mentions P831 FINISHED
Object Rutgers E46975 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: Rutgers | Statement: [Rutgers fight songs, mentions, Rutgers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutgers
Context triple: [Rutgers fight songs, mentions, Rutgers]
  • A. Rutgers University chosen
    Rutgers University is a major public research university and the State University of New Jersey, known for its large, diverse student body and extensive academic and athletic programs.
  • B. Princeton
    Princeton is a small town in Johnston County, North Carolina, known for its rural character and tight-knit community.
  • C. Princeton
    Princeton is a historic New Jersey town best known as the site of the pivotal 1777 Battle of Princeton during the American Revolutionary War and as home to Princeton University.
  • D. Princeton
    Princeton is a small but rapidly growing city in Collin County, Texas, situated in the northeastern part of the Dallas–Fort Worth metropolitan area.
  • E. Princeton
    Princeton is a small city in southern West Virginia known as a regional hub for commerce, education, and access to outdoor recreation in the Appalachian region.
  • 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_69ca8312d63c8190bf133b676b44a385 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_69ce4db8bd5481909bb41053832f60ba completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:06 p.m.