Triple

T11558995
Position Surface form Disambiguated ID Type / Status
Subject World Football League E274086 entity
Predicate hadTeam P330 FINISHED
Object Detroit Wheels E274096 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: Detroit Wheels | Statement: [World Football League, hadTeam, Detroit Wheels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detroit Wheels
Context triple: [World Football League, hadTeam, Detroit Wheels]
  • A. Detroit Wheels chosen
    Detroit Wheels was a short-lived professional American football team based in Detroit that competed in the mid-1970s World Football League.
  • B. Detroit Fury
    Detroit Fury was an Arena Football League team based in the Detroit metropolitan area that competed in the early 2000s.
  • C. Motorcity
    Motorcity is an animated television series set in a futuristic Detroit where a group of rebels fights against an oppressive corporate regime.
  • D. Detroit Girl
    "Detroit Girl" is a song by Ray Ray, likely reflecting themes or stories connected to the city of Detroit.
  • E. Detroit 1-8-7
    Detroit 1-8-7 is an American police procedural television series set in Detroit that follows homicide detectives as they investigate murders in the city.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a888e8481909386009b9603e4d3 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e88b84d48190948243646bb5fd2b completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.