Triple

T27757115
Position Surface form Disambiguated ID Type / Status
Subject northwestern Colombia E701361 entity
Predicate includes P1393 FINISHED
Object Córdoba Department E204085 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: Córdoba Department | Statement: [northwestern Colombia, includes, Córdoba Department]

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_69ef6a5193808190816eb7d0020b2d87 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637629edc8190a3268b23372cd2ad completed May 2, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2958e2f1048190b8b7746cb959d54f completed June 10, 2026, 12:30 p.m.
Created at: April 27, 2026, 4:24 p.m.