Triple

T23589545
Position Surface form Disambiguated ID Type / Status
Subject Mesnali E582437 entity
Predicate previousCounty P65436 FINISHED
Object Hedmark E102451 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: Hedmark | Statement: [Mesnali, previousCounty, Hedmark]

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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0336aec8190856aee4a8273c3e5 completed April 29, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20a5f92c8190a88be02dca401b78 completed June 23, 2026, 5:59 a.m.
Created at: April 17, 2026, 6:41 p.m.