Triple

T14028533
Position Surface form Disambiguated ID Type / Status
Subject Hadeland E337526 entity
Predicate hasMunicipality P847 FINISHED
Object Jevnaker E422311 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: Jevnaker | Statement: [Hadeland, hasMunicipality, Jevnaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jevnaker
Context triple: [Hadeland, hasMunicipality, Jevnaker]
  • A. Jevnaker chosen
    Jevnaker is a municipality in Viken county, Norway, known for its scenic lakeside setting and the Hadeland Glassverk glassworks.
  • B. Minskov
    Minskov is a supporting character in the French crime drama film "The Beat That My Heart Skipped," involved in the criminal underworld that complicates the protagonist's life.
  • C. Smedvig
    Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
  • D. Tjuneroy
    Tjuneroy was an ancient Egyptian official, likely a high-ranking scribe or priest under Ramesses II, associated with the creation of the Saqqara King List.
  • E. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.