Triple

T7462791
Position Surface form Disambiguated ID Type / Status
Subject Ockelbo Municipality E176292 entity
Predicate subdivisionName P747 FINISHED
Object Ockelbo kommun E176292 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: Ockelbo kommun | Statement: [Ockelbo Municipality, subdivisionName, Ockelbo kommun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ockelbo kommun
Context triple: [Ockelbo Municipality, subdivisionName, Ockelbo kommun]
  • A. Ockelbo Municipality chosen
    Ockelbo Municipality is a rural municipality in Gävleborg County, Sweden, known for its forests, lakes, and outdoor recreation opportunities.
  • B. Oxelösund Municipality
    Oxelösund Municipality is a coastal local government area in Södermanland County, Sweden, centered on the industrial port town of Oxelösund.
  • C. Lekeberg Municipality
    Lekeberg Municipality is a local government area in central Sweden known for its rural landscapes and location within Örebro County.
  • D. Karlskoga Municipality
    Karlskoga Municipality is a local government area in central Sweden known for its industrial heritage and association with Alfred Nobel.
  • E. Botkyrka Municipality
    Botkyrka Municipality is a suburban municipality in the southern part of the Stockholm metropolitan area in Sweden, known for its cultural diversity and mix of urban and rural environments.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845f494b481908c1860ad1662fa92 completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3:39 p.m.