Triple

T23351752
Position Surface form Disambiguated ID Type / Status
Subject Grong E592931 entity
Predicate locatedInAdministrativeRegion P40 FINISHED
Object Namdalen district 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: Namdalen district | Statement: [Grong, locatedInAdministrativeRegion, Namdalen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namdalen district
Context triple: [Grong, locatedInAdministrativeRegion, Namdalen district]
  • A. Namdalen district chosen
    Namdalen district is a traditional region in Trøndelag county, Norway, known for its river valleys, forestry, and coastal communities centered around the town of Namsos.
  • B. Guldara District
    Guldara District is an administrative district in Afghanistan located within Kabul Province, known for its rural communities and mountainous terrain.
  • C. Saane district
    Saane District is an administrative district in the canton of Fribourg, Switzerland, centered around the city of Fribourg and known for its bilingual French- and German-speaking population.
  • D. Dalane district
    Dalane district is a traditional region in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small fjords.
  • E. Alna district
    Alna district is a borough in the eastern part of Oslo, Norway, known for its residential areas, industrial zones, and the Alna River running through it.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1401748190b77df0a45c2aeebf completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.