Triple

T5394761
Position Surface form Disambiguated ID Type / Status
Subject Coat of arms of Arendal E120624 entity
Predicate usedBy P260 FINISHED
Object town of Arendal E22542 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: town of Arendal | Statement: [Coat of arms of Arendal, usedBy, town of Arendal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Arendal
Context triple: [Coat of arms of Arendal, usedBy, town of Arendal]
  • A. Årdal Municipality
    Årdal Municipality is a local government area in western Norway known for its fjord landscape and hydroelectric-based industry.
  • B. Arendal chosen
    Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
  • C. Aurland Municipality
    Aurland Municipality is a scenic local government area in western Norway, known for its dramatic fjord landscapes, including parts of the UNESCO-listed Nærøyfjord.
  • D. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • E. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87441a208190b79561614759894b completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336d43a081909ab05d237c297c7b completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.