Triple

T15545531
Position Surface form Disambiguated ID Type / Status
Subject Another Place E370598 entity
Predicate exhibitedBeforeCrosby P119122 FINISHED
Object Stavanger, Norway E74350 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: Stavanger, Norway | Statement: [Another Place, exhibitedBeforeCrosby, Stavanger, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stavanger, Norway
Context triple: [Another Place, exhibitedBeforeCrosby, Stavanger, Norway]
  • A. Stavanger chosen
    Stavanger is a coastal city in southwestern Norway known for its oil industry hub status, historic wooden houses, and proximity to natural attractions like the Lysefjord and Preikestolen.
  • B. Sandefjord, Norway
    Sandefjord, Norway is a coastal town in Vestfold known for its maritime heritage, former whaling industry, and scenic fjord landscape.
  • C. Bergen, Sweden
    Bergen, Sweden is a small locality in Västra Götaland County known for its rural character and twinning relationship with Bergen, Germany.
  • D. Folkestad, Norway
    Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
  • E. Rosendal, Norway
    Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0443410408190a249889edcd9c599 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6287f48190a54d0d029dc503f8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:07 a.m.