Triple

T8073997
Position Surface form Disambiguated ID Type / Status
Subject Piedecuesta E188445 entity
Predicate locatedInOrNextToBodyOfWater P1489 FINISHED
Object Río Hato Medio E770832 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: Río Hato Medio | Statement: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Hato Medio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Hato Medio
Context triple: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Hato Medio]
  • A. Río Hato chosen
    Río Hato is a river that flows near the municipality of Piedecuesta in the Santander Department of Colombia.
  • B. Río Baluarte
    Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
  • C. Río Cocal
    Río Cocal is a river located in the municipality of Toa Baja on the northern coast of Puerto Rico.
  • D. Río Viejo
    Río Viejo is a town and municipality located in northern Colombia’s Caribbean region, within the Bolívar Department.
  • E. Río Viejo
    Río Viejo is a river in Nicaragua that serves as one of the tributaries feeding into Lake Xolotlán (Lake Managua).
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d190aa70f0819088998b0e895ea36a completed April 4, 2026, 10:28 p.m.
Created at: March 30, 2026, 5:27 p.m.