Triple

T17847575
Position Surface form Disambiguated ID Type / Status
Subject Flesberg E445703 entity
Predicate hasNeighbour P5707 FINISHED
Object Sigdal 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: Sigdal | Statement: [Flesberg, hasNeighbour, Sigdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigdal
Context triple: [Flesberg, hasNeighbour, Sigdal]
  • A. Sigdal chosen
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • B. Sigave
    Sigave is one of the three traditional chiefdoms of Wallis and Futuna, located on the island of Futuna in the South Pacific.
  • C. Sandane
    Sandane is a village in Vestland county, Norway, known as the main settlement and hub of the Gloppen municipality.
  • D. Silbodal
    Silbodal is a locality in western Sweden known as the birthplace of pioneering film director Victor Sjöström.
  • E. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.