Triple

T17657730
Position Surface form Disambiguated ID Type / Status
Subject Nesbyen E440168 entity
Predicate hasPostalCode P222 FINISHED
Object 3540 Nesbyen NE NERFINISHED

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: 3540 Nesbyen | Statement: [Nesbyen, hasPostalCode, 3540 Nesbyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3540 Nesbyen
Context triple: [Nesbyen, hasPostalCode, 3540 Nesbyen]
  • A. 5430 Bremnes
    5430 Bremnes is a Norwegian postal code area serving the village of Svortland on the island of Bømlo in Vestland county.
  • B. 3535 Krøderen chosen
    3535 Krøderen is a Norwegian postal code area serving the village of Krøderen in Krødsherad municipality in Viken county.
  • C. Nesbyen
    Nesbyen is a small town and municipality in southeastern Norway known for its inland valley setting, historic wooden buildings, and notably warm summer temperatures.
  • D. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • E. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.