Triple

T15889719
Position Surface form Disambiguated ID Type / Status
Subject Harstad harbour E385283 entity
Predicate adjacentTo P224 FINISHED
Object Harstad town centre E78588 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: Harstad town centre | Statement: [Harstad harbour, adjacentTo, Harstad town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harstad town centre
Context triple: [Harstad harbour, adjacentTo, Harstad town centre]
  • A. Harstad town hall
    Harstad town hall is the main municipal building and administrative center of the town of Harstad in northern Norway.
  • B. Harstad chosen
    Harstad is a coastal town and municipality in Troms county, known as an important regional center in Northern Norway with a strong maritime and cultural heritage.
  • C. Harstad Kulturhus
    Harstad Kulturhus is a central performing arts and cultural venue in Harstad, Norway, hosting concerts, theater productions, festivals, and community events.
  • D. Harstad municipality
    Harstad municipality is a local government area in Troms county, northern Norway, centered on the coastal town of Harstad and known for its maritime industries and Arctic landscape.
  • E. Kristinestad
    Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.