Triple

T29005949
Position Surface form Disambiguated ID Type / Status
Subject Fernando González Laxe E736433 entity
Predicate workLocation P7 FINISHED
Object Santiago de Compostela E86845 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: Santiago de Compostela | Statement: [Fernando González Laxe, workLocation, Santiago de Compostela]

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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fc08c78819086abfcb2c02af163 completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505b41b548190b9f2dcd09f3ae4f4 completed June 7, 2026, 5:46 a.m.
Created at: April 28, 2026, 9:37 a.m.