Triple

T3701519
Position Surface form Disambiguated ID Type / Status
Subject Harstad E78588 entity
Predicate isRegionalCentreFor P164 FINISHED
Object Northern Nordland E80792 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: Northern Nordland | Statement: [Harstad, isRegionalCentreFor, Northern Nordland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Nordland
Context triple: [Harstad, isRegionalCentreFor, Northern Nordland]
  • A. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • B. Nordland chosen
    Nordland is a long coastal county in northern Norway known for its dramatic fjords, islands like the Lofoten archipelago, and Arctic landscapes.
  • C. Northern Norway
    Northern Norway is the sparsely populated, Arctic-influenced northern region of Norway known for its dramatic coastal landscapes, midnight sun, and frequent displays of the Northern Lights.
  • D. Southern Troms
    Southern Troms is a region in the southern part of Troms county in northern Norway, encompassing coastal and inland communities for which Harstad serves as the main urban and administrative hub.
  • E. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5282613d0819085a47d1fffdaa4d5 completed March 14, 2026, 9:19 a.m.
Created at: March 8, 2026, 3:26 p.m.