Triple

T1848371
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Nürnberg E41334 entity
Predicate hasAbbreviation P43 FINISHED
Object FCN E206219 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: FCN | Statement: [1. FC Nürnberg, hasAbbreviation, FCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FCN
Context triple: [1. FC Nürnberg, hasAbbreviation, FCN]
  • A. FCN chosen
    FCN is the common abbreviation for 1. FC Nürnberg, a German football club based in Nuremberg.
  • B. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • C. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • D. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • E. JFC
    JFC is the commonly used abbreviation for the United Kingdom's Joint Forces Command, a major military command responsible for overseeing joint capabilities across the armed services.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf48e3048190a79824fd92e0079f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.