Triple

T20905202
Position Surface form Disambiguated ID Type / Status
Subject Montería E514776 entity
Predicate capitalOf P204 FINISHED
Object Córdoba Department E204085 NE FINISHED

How this triple was built (2 steps)

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: [Montería, capitalOf, Córdoba Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Córdoba Department
Context triple: [Montería, capitalOf, Córdoba Department]
  • A. Córdoba Department chosen
    Córdoba Department is an administrative region in northern Colombia known for its Caribbean lowlands, cattle ranching, and capital city Montería.
  • B. Santa Bárbara Department
    Santa Bárbara Department is an administrative region in western Honduras known for its mountainous terrain, coffee production, and proximity to the Guatemalan border.
  • C. San Luis del Palmar Department
    San Luis del Palmar Department is an administrative division in Corrientes Province, Argentina, known for its rural landscapes and small-town communities centered around the town of San Luis del Palmar.
  • D. San Cosme Department
    San Cosme Department is an administrative division in Corrientes Province, Argentina, known for its rural communities and proximity to the provincial capital.
  • E. Loreto Department
    Loreto Department is the largest and one of the most sparsely populated administrative regions of Peru, known for its vast tracts of Amazon rainforest, rich biodiversity, and river-based communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8ff36488190987ecdfcbed4220c completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d6015e081909fea513c07e31ac4 completed May 18, 2026, 1:37 a.m.
Created at: April 16, 2026, 12:47 p.m.