Triple

T2646751
Position Surface form Disambiguated ID Type / Status
Subject Jaarbeurs Utrecht E53801 entity
Predicate alsoKnownAs P39 FINISHED
Object Jaarbeurs E53801 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: Jaarbeurs | Statement: [Jaarbeurs Utrecht, alsoKnownAs, Jaarbeurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaarbeurs
Context triple: [Jaarbeurs Utrecht, alsoKnownAs, Jaarbeurs]
  • A. Jaarbeurs Utrecht chosen
    Jaarbeurs Utrecht is a major Dutch convention and exhibition center in the city of Utrecht, known for hosting large trade fairs, conferences, and events.
  • B. Noordermarkt
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • C. Haarlemmertrekvaart
    Haarlemmertrekvaart is a historic canal in the Netherlands that formed part of an early trekschuit (horse-drawn boat) route between Haarlem and Amsterdam.
  • D. Weethalle
    Weethalle is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and wheat production.
  • E. Messe
    Messe is a Nuremberg U-Bahn station serving the city’s exhibition and trade fair grounds.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd919bf2c81908feb768f3391e985 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c721b08190b380d3625126cb55 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.