Triple

T17687015
Position Surface form Disambiguated ID Type / Status
Subject Nordsjællands Hospital E440919 entity
Predicate cityServed P82 FINISHED
Object Frederikssund 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: Frederikssund | Statement: [Nordsjællands Hospital, cityServed, Frederikssund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederikssund
Context triple: [Nordsjællands Hospital, cityServed, Frederikssund]
  • A. Frederikssund chosen
    Frederikssund is a Danish town and municipality located on the island of Zealand, known for its Viking heritage and position along the Roskilde Fjord.
  • B. Julsundet
    Julsundet is a strait in Møre og Romsdal county, Norway, forming a key marine passage between the islands of the region and the mainland.
  • C. Svinesund
    Svinesund is a strait forming part of the border between Norway and Sweden, best known for its bridges and role as a major road crossing between the two countries.
  • D. Guldborgsund
    Guldborgsund is a narrow strait in Denmark that separates the islands of Lolland and Falster and serves as an important local waterway.
  • E. Vejle Fjord
    Vejle Fjord is a narrow, scenic inlet of the Kattegat on Denmark’s east coast, known for its rolling forested hills, coastal landscapes, and the town of Vejle at its head.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470488c4081909b747313ef97b69c completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.