Triple

T2207079
Position Surface form Disambiguated ID Type / Status
Subject Aremark E50823 entity
Predicate distanceTo P350 FINISHED
Object Halden E245861 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: Halden | Statement: [Aremark, distanceTo, Halden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden
Context triple: [Aremark, distanceTo, Halden]
  • A. Halden
    Halden is a historic border town and municipality in southeastern Norway, known for the Fredriksten fortress and its location near the Swedish border.
  • B. Halden municipality chosen
    Halden municipality is a local government area in southeastern Norway, known for its historic fortress, border location near Sweden, and role as an administrative and commercial center in the region.
  • C. Kvik Halden
    Kvik Halden is a Norwegian football club based in the town of Halden, known for competing in the lower divisions of the national league system.
  • D. Halden town hall
    Halden town hall is the main administrative and political center of the municipality of Halden in Norway.
  • E. Drammen
    Drammen is a city and municipality in southeastern Norway known for its riverside setting along the Drammenselva and its role as a regional commercial and transport hub.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69af176447d881909173c62cc8c394a0 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:46 p.m.