Triple

T14601475
Position Surface form Disambiguated ID Type / Status
Subject Stange E342714 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Nord-Odal E457403 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: Nord-Odal | Statement: [Stange, neighboringMunicipality, Nord-Odal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nord-Odal
Context triple: [Stange, neighboringMunicipality, Nord-Odal]
  • A. Nord-Odal chosen
    Nord-Odal is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
  • B. Sør-Odal
    Sør-Odal is a rural municipality in Innlandet county, Norway, known for its forests, agriculture, and location along the Glomma River.
  • C. Ogndal
    Ogndal was a former rural municipality in Trøndelag county, Norway, that was incorporated into the town of Steinkjer.
  • D. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • E. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.