Triple

T19738934
Position Surface form Disambiguated ID Type / Status
Subject North Denmark Region E474059 entity
Predicate containsCity P294 FINISHED
Object Sindal 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: Sindal | Statement: [North Denmark Region, containsCity, Sindal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindal
Context triple: [North Denmark Region, containsCity, Sindal]
  • A. Sindal chosen
    Sindal is a small Danish town in the Vendsyssel region of northern Jutland.
  • B. Sigdal
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • C. Sinnar
    Sinnar is a town in the Nashik district of Maharashtra, India, known for its historical temples and growing industrial development.
  • D. Sandane
    Sandane is a village in Vestland county, Norway, known as the main settlement and hub of the Gloppen municipality.
  • E. Sarvik
    Sarvik is a demonic antagonist figure from Estonian mythology, best known as one of the foes confronted by the hero Kalevipoeg in the national epic.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.