Triple

T9160746
Position Surface form Disambiguated ID Type / Status
Subject Chicamocha River E219813 entity
Predicate near P350 FINISHED
Object San Gil E182628 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: San Gil | Statement: [Chicamocha River, near, San Gil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Gil
Context triple: [Chicamocha River, near, San Gil]
  • A. San Gil chosen
    San Gil is a popular Colombian town in the Santander Department known as an adventure tourism hub for activities like rafting, caving, and paragliding.
  • B. Girón
    Girón is a historic colonial-era town and municipality in northeastern Colombia, renowned for its preserved whitewashed architecture and cobblestone streets.
  • C. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • D. San Miguel de Lillo
    San Miguel de Lillo is a 9th-century pre-Romanesque church near Oviedo in Asturias, Spain, renowned for its distinctive Asturian architecture and UNESCO World Heritage status.
  • E. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:21 p.m.