Triple

T23430641
Position Surface form Disambiguated ID Type / Status
Subject Verónica Boquete E563318 entity
Predicate memberOfSportsTeam P330 FINISHED
Object 1. FFC Frankfurt 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: 1. FFC Frankfurt | Statement: [Verónica Boquete, memberOfSportsTeam, 1. FFC Frankfurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1. FFC Frankfurt
Context triple: [Verónica Boquete, memberOfSportsTeam, 1. FFC Frankfurt]
  • A. 1. FFC Frankfurt chosen
    1. FFC Frankfurt is a highly successful German women's football club known for its multiple national and UEFA Women's Champions League titles.
  • B. Frankfurt U2
    Frankfurt U2 is a line of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northern suburbs.
  • C. Frankfurt VGF
    Frankfurt VGF is the main public transport operator in Frankfurt am Main, Germany, running the city's tram, metro, and bus services.
  • D. Frankfurt U1
    Frankfurt U1 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt am Main, Germany.
  • E. FSV Frankfurt
    FSV Frankfurt is a German football club from Frankfurt am Main that traditionally plays in the lower professional tiers and is known as a local rival of Eintracht Frankfurt.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:48 p.m.