Triple

T8089037
Position Surface form Disambiguated ID Type / Status
Subject Tominé Reservoir E188807 entity
Predicate nearbySettlement P350 FINISHED
Object Sesquilé E178748 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: Sesquilé | Statement: [Tominé Reservoir, nearbySettlement, Sesquilé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sesquilé
Context triple: [Tominé Reservoir, nearbySettlement, Sesquilé]
  • A. Sesquilé chosen
    Sesquilé is a municipality in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá and known for its proximity to Lake Tominé and the legendary Lake Guatavita region.
  • B. Gravina
    Gravina is an Italian surname historically associated with notable figures in politics, the military, and the arts.
  • C. Sonoyta
    Sonoyta is a small town in the Mexican state of Sonora, located near the U.S. border opposite Lukeville, Arizona, and serving as a gateway to the surrounding desert and protected natural areas.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421c717c819089dd88c30a6401aa completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640a42648190bc1a3072eb338e22 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.