Triple

T20707812
Position Surface form Disambiguated ID Type / Status
Subject Jærbanen E508950 entity
Predicate connectsTo P845 FINISHED
Object Sandnes 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: Sandnes | Statement: [Jærbanen, connectsTo, Sandnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandnes
Context triple: [Jærbanen, connectsTo, Sandnes]
  • A. Sandnes
    Sandnes is a small settlement located within Masfjorden Municipality in Vestland county, western Norway.
  • B. Sandnes chosen
    Sandnes is a city in southwestern Norway, near Stavanger, known for its proximity to fjords and outdoor recreation areas.
  • C. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • D. Sokna
    Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
  • E. Sunndal
    Sunndal is a municipality in Møre og Romsdal county in western Norway, known for its dramatic fjord landscape and significant aluminum industry.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.