Triple

T13808116
Position Surface form Disambiguated ID Type / Status
Subject Lesja municipality E331811 entity
Predicate hasSettlement P1068 FINISHED
Object Lesja village E1062767 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: Lesja village | Statement: [Lesja municipality, hasSettlement, Lesja village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesja village
Context triple: [Lesja municipality, hasSettlement, Lesja village]
  • A. Lesja village chosen
    Lesja village is a small rural settlement in Innlandet county, Norway, known for its traditional farming landscape and role as the local hub of the surrounding mountainous area.
  • B. Osen village
    Osen village is a small coastal settlement in the Fosen region of Trøndelag county, Norway.
  • C. Susak village
    Susak village is a small, remote settlement on the Croatian island of Susak in the Adriatic Sea, known for its sandy terrain, traditional stone houses, and preserved local customs.
  • D. Talgje village
    Talgje village is a small coastal settlement in Norway known for its scenic island setting and traditional rural character.
  • E. Sinquerim village
    Sinquerim village is a coastal settlement in North Goa, India, known for its proximity to the popular Sinquerim Beach and its laid-back Goan atmosphere.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.