Triple

T1345994
Position Surface form Disambiguated ID Type / Status
Subject Sinaloa E28571 entity
Predicate hasMajorRiver P165 FINISHED
Object Río Fuerte E194068 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 Fuerte | Statement: [Sinaloa, hasMajorRiver, Río Fuerte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Fuerte
Context triple: [Sinaloa, hasMajorRiver, Río Fuerte]
  • A. Rio Fuerte chosen
    Rio Fuerte is a major river in northwestern Mexico that carves through the Sierra Madre Occidental and helps form the dramatic landscapes of the Copper Canyon region.
  • B. Conchos River
    The Conchos River is a major river in northern Mexico that flows through the state of Chihuahua before joining the Rio Grande.
  • C. Choluteca River
    The Choluteca River is a major river in southern Honduras known for flowing through the capital city, Tegucigalpa, and for its severe flooding during Hurricane Mitch in 1998.
  • D. Arroyo Naranjo
    Arroyo Naranjo is a municipality in Cuba known as one of the administrative divisions of the Havana metropolitan area.
  • E. Navarro River
    The Navarro River is a coastal river in Northern California that flows through redwood forests and vineyards before emptying into the Pacific Ocean near the town of Navarro in Mendocino County.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ae387c8190b72ca26ab81a53b6 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:56 p.m.