Triple

T18113334
Position Surface form Disambiguated ID Type / Status
Subject Lunner E433535 entity
Predicate hasSettlement P1068 FINISHED
Object Grua 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: Grua | Statement: [Lunner, hasSettlement, Grua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grua
Context triple: [Lunner, hasSettlement, Grua]
  • A. Grua chosen
    Grua is a small village in Lunner Municipality in Viken county, Norway, known as a local residential community in the Hadeland region.
  • B. Meanguera
    Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
  • C. Urquidi
    Urquidi is a Spanish-language surname of Basque origin borne by various notable individuals in Latin America.
  • D. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • E. Digras
    Digras is a town in the Yavatmal district of Maharashtra, India, known for its agrarian economy and role as a local commercial center.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.