Triple

T11834103
Position Surface form Disambiguated ID Type / Status
Subject Feyenoord E281470 entity
Predicate rival P437 FINISHED
Object Sparta Rotterdam E927566 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: Sparta Rotterdam | Statement: [Feyenoord, rival, Sparta Rotterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparta Rotterdam
Context triple: [Feyenoord, rival, Sparta Rotterdam]
  • A. Sparta Rotterdam chosen
    Sparta Rotterdam is a historic Dutch professional football club from Rotterdam, known as one of the oldest clubs in the Netherlands and a traditional Eredivisie participant.
  • B. Sparta Prague
    Sparta Prague is a leading Czech professional football club based in Prague, renowned for its domestic success and development of top players such as Pavel Nedvěd.
  • C. Medemblik
    Medemblik is a historic town and municipality in the northwest of the Netherlands, situated on the IJsselmeer and known for its medieval castle and sailing heritage.
  • D. Twente
    Twente is a historical and cultural region in the eastern Netherlands known for its rural landscapes, industrial heritage, and cities such as Enschede and Hengelo.
  • E. Oirschot
    Oirschot is a historic municipality and town in the Dutch province of North Brabant, known for its well-preserved medieval center and cultural heritage.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f16753f4f88190940e53312aff4333 completed April 29, 2026, 2:05 a.m.
Created at: April 8, 2026, 9:43 p.m.