Triple

T8073488
Position Surface form Disambiguated ID Type / Status
Subject Region Nordjylland E188433 entity
Predicate containsCity P294 FINISHED
Object Hjørring E100277 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: Hjørring | Statement: [Region Nordjylland, containsCity, Hjørring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjørring
Context triple: [Region Nordjylland, containsCity, 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 (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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd947cf7a881908b45cf262887da86 completed April 1, 2026, 9:56 p.m.
Created at: March 30, 2026, 5:27 p.m.