Triple

T3701543
Position Surface form Disambiguated ID Type / Status
Subject Harstad E78588 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Tjeldsund E330816 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: Tjeldsund | Statement: [Harstad, hasNeighbouringMunicipality, Tjeldsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tjeldsund
Context triple: [Harstad, hasNeighbouringMunicipality, Tjeldsund]
  • A. Tjeldsund chosen
    Tjeldsund is a coastal municipality in northern Norway known for its location around the Tjeldsundet strait and its mix of island and mainland landscapes.
  • B. Bojnord
    Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • C. Grimstad
    Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
  • D. Bodø Harbour
    Bodø Harbour is a key coastal port in the Norwegian town of Bodø, serving as an important hub for regional shipping, fishing, and ferry traffic in northern Norway.
  • E. Norheimsund
    Norheimsund is a village in western Norway known as a regional center in the Hardanger region, noted for its scenic fjordside setting and proximity to the Steinsdalsfossen waterfall.
  • 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_69b4f024962881908b5fe52f594a5d03 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:26 p.m.