Triple

T25908065
Position Surface form Disambiguated ID Type / Status
Subject Klepp E652810 entity
Predicate partOf P40 FINISHED
Object Jæren district E384979 NE FINISHED

How this triple was built (1 step)

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: Jæren district | Statement: [Klepp, partOf, Jæren district]

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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603c15b348190a7f00745b6475b28 completed May 2, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632d0f8f081908eea6ced1f8dc412 completed May 26, 2026, 11:54 p.m.
Created at: April 22, 2026, 8:27 a.m.