Triple

T5748269
Position Surface form Disambiguated ID Type / Status
Subject Hammershus E126785 entity
Predicate locatedNear P294 FINISHED
Object Sandvig E512639 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: Sandvig | Statement: [Hammershus, locatedNear, Sandvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandvig
Context triple: [Hammershus, locatedNear, Sandvig]
  • A. Sandvig chosen
    Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Solvang
    Solvang is a Danish-themed tourist town in California known for its Scandinavian architecture, bakeries, and wineries.
  • D. Merrild
    Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
  • E. Jette
    Jette is a municipality in the Brussels-Capital Region of Belgium, known for its residential character and educational institutions, including the Jette campus.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02887496c8190b1b9c8dda0d561ef completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e30fe98819096ad6e09fbd463b5 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.