Triple

T34615915
Position Surface form Disambiguated ID Type / Status
Subject Danish regions E888862 entity
Predicate includeSubdivision P747 FINISHED
Object Region Sjælland E1931665 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: Region Sjælland | Statement: [Danish regions, includeSubdivision, Region Sjælland]

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_69f349d584e08190b40b9f6281ad50c4 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a03809a38c08190b5a19a0c05c25346 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37a8990e9c8190a4f260b56b48eb82 completed June 21, 2026, 9:02 a.m.
Created at: May 1, 2026, 2:03 a.m.