Triple

T18897289
Position Surface form Disambiguated ID Type / Status
Subject Sankt Olai Church E462241 entity
Predicate locatedIn P40 FINISHED
Object Hjørring NE NERFINISHED

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: Hjørring | Statement: [Sankt Olai Church, locatedIn, Hjørring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjørring
Context triple: [Sankt Olai Church, locatedIn, Hjørring]
  • A. Hjørring chosen
    Hjørring is a historic town in northern Denmark known as one of the oldest settlements in the Vendsyssel region and a local commercial and cultural center.
  • B. Vordingborg
    Vordingborg is a historic coastal town in southern Denmark known for the ruins of Vordingborg Castle and its prominent Goose Tower.
  • C. Frederikshavn
    Frederikshavn is a port town in northern Jutland, Denmark, known for its ferry connections to Norway and Sweden and its maritime industry.
  • D. Tønder
    Tønder is a historic market town in southern Denmark near the German border, known for its well-preserved old town and cultural heritage.
  • E. Nykøbing Mors
    Nykøbing Mors is a Danish coastal town on the island of Mors, known as its main urban center and a local hub for fishing, trade, and tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52689308190b2e5ca163b1f6cd1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.