Triple

T20706706
Position Surface form Disambiguated ID Type / Status
Subject Eidsivating Court of Appeal E508920 entity
Predicate locatedIn P40 FINISHED
Object Hamar 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: Hamar | Statement: [Eidsivating Court of Appeal, locatedIn, Hamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamar
Context triple: [Eidsivating Court of Appeal, locatedIn, Hamar]
  • A. Hamar chosen
    Hamar is a town and municipality in Innlandet county, Norway, known for its rich Viking history and as a regional cultural and administrative center.
  • B. Hamor
    Hamor is a biblical figure in the Book of Genesis, known as the Hivite ruler of Shechem and father of Shechem, who becomes involved in the conflict with Jacob’s sons over the violation of their sister Dinah.
  • C. Hageri
    Hageri is a small village located in Rapla County in western Estonia.
  • D. Hemsila
    Hemsila is a river in the Norwegian municipality of Hemsedal, known for its scenic valley course and popular trout fishing.
  • E. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c1917ce08190a54720d4d5b0a02c completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:13 p.m.