Triple

T6722608
Position Surface form Disambiguated ID Type / Status
Subject The Gers E153431 entity
Predicate shortName P43 FINISHED
Object Rangers E28540 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: Rangers | Statement: [The Gers, shortName, Rangers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangers
Context triple: [The Gers, shortName, Rangers]
  • A. Rangers
    Rangers are elite U.S. Army light infantry soldiers trained for rapid deployment and specialized combat operations.
  • B. Rangers F.C. chosen
    Rangers F.C. is a Glasgow-based professional football club and one of Scotland’s most successful and historically significant teams.
  • C. Red Bulls
    Red Bulls is the nickname of EHC Red Bull München, a professional ice hockey team based in Munich, Germany that competes in the Deutsche Eishockey Liga.
  • D. The Cowboys
    The Cowboys is a 1972 Western film starring John Wayne as a rancher who recruits schoolboys to help him drive his cattle to market.
  • E. The Devils
    The Devils is a political and psychological novel by Fyodor Dostoevsky that explores radicalism, moral chaos, and the destructive consequences of revolutionary ideology in 19th-century Russia.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d139d50c81908b19120f139deaa5 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a14ebc819092cc40f522540f1a completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:08 p.m.