Triple

T17240157
Position Surface form Disambiguated ID Type / Status
Subject Caithness E418470 entity
Predicate containsSettlement P847 FINISHED
Object Halkirk E1207823 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: Halkirk | Statement: [Caithness, containsSettlement, Halkirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halkirk
Context triple: [Caithness, containsSettlement, Halkirk]
  • A. Halkirk chosen
    Halkirk is a small village in Caithness in the Highland council area of northern Scotland, known for its rural setting and proximity to key transport links.
  • B. Hornstull
    Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
  • C. Borken
    Borken is a town in western Germany that serves as an administrative and commercial center in the state of North Rhine-Westphalia.
  • D. Hamor
    Hamor is a biblical figure in the Book of Genesis, known as the Hivite ruler of Shechem and father of Shechem, who becomes involved in the conflict with Jacob’s sons over the violation of their sister Dinah.
  • E. Halver
    Halver is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its rural character and metalworking industries.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f1511c8190b70cb37e713a406a completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.