Triple

T22801260
Position Surface form Disambiguated ID Type / Status
Subject P&C Stadium E564399 entity
Predicate city P40 FINISHED
Object Syracuse 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: Syracuse | Statement: [P&C Stadium, city, Syracuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syracuse
Context triple: [P&C Stadium, city, Syracuse]
  • A. Syracuse chosen
    Syracuse is a mid-sized city in central New York State known for Syracuse University, its role as a regional economic and cultural hub, and its snowy winters.
  • B. Syracuse
    Syracuse is an ancient and historically significant city on the eastern coast of Sicily, renowned as a powerful Greek colony and cultural center in antiquity.
  • C. Syracuse
    Syracuse is a suburban city in Davis County, northern Utah, known for its rapid growth and proximity to the Great Salt Lake and Antelope Island.
  • D. Utica
    Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
  • E. Utica
    Utica is a small village in LaSalle County, Illinois, known as a gateway to the nearby Starved Rock State Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdd87648190ba30f0b8f3ef7346 completed April 29, 2026, 3:37 a.m.
Created at: April 17, 2026, 3:31 p.m.