Triple

T19705094
Position Surface form Disambiguated ID Type / Status
Subject G-14 E473192 entity
Predicate hasMember P10 FINISHED
Object PSV Eindhoven 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: PSV Eindhoven | Statement: [G-14, hasMember, PSV Eindhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSV Eindhoven
Context triple: [G-14, hasMember, PSV Eindhoven]
  • A. PSV Eindhoven chosen
    PSV Eindhoven is a major Dutch professional football club based in Eindhoven, renowned as one of the Netherlands' "big three" teams and a regular competitor in European competitions.
  • B. FC Eindhoven
    FC Eindhoven is a Dutch professional football club from Eindhoven that competes in the country’s league system and shares a historic city rivalry with PSV Eindhoven.
  • C. Feyenoord
    Feyenoord is a major professional football club from Rotterdam, Netherlands, known for its passionate fanbase, rich history, and success in domestic and European competitions.
  • D. AZ Alkmaar
    AZ Alkmaar is a Dutch professional football club based in Alkmaar, known for competing in the Eredivisie and developing talented players for top European leagues.
  • E. SC Heerenveen
    SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.