Triple

T13810114
Position Surface form Disambiguated ID Type / Status
Subject Bayview Stadium E331865 entity
Predicate near P350 FINISHED
Object Leven E6862 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: Leven | Statement: [Bayview Stadium, near, Leven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leven
Context triple: [Bayview Stadium, near, Leven]
  • A. Leven chosen
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • B. Ederveen
    Ederveen is a village in the Dutch province of Gelderland, known for its rural character and location within the municipality of Ede.
  • C. Bassein
    Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
  • D. Wassen
    Wassen is a small Swiss village in the canton of Uri, known for its picturesque church and location along the Gotthard railway and road routes in the central Alps.
  • E. Olst
    Olst is a village in the Dutch province of Overijssel, situated along the river IJssel and known for its rural character and historic estates.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026ff6b481908066d6bf27064417 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b09161108190abbd97a30af9ab49 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.