Triple

T6926970
Position Surface form Disambiguated ID Type / Status
Subject Los Mochis E160334 entity
Predicate nearRiver P350 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: [Los Mochis, nearRiver, Río Fuerte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Fuerte
Context triple: [Los Mochis, nearRiver, 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. Río Verde
    Río Verde is a sparsely populated rural commune in Chilean Patagonia, known for its sheep-farming estancias and windswept steppe landscapes along the Strait of Magellan.
  • C. Río Verde
    Río Verde is a river in southern Spain that flows through the municipality of Almuñécar in the province of Granada before reaching the Mediterranean Sea.
  • D. Río San Antonio
    Río San Antonio is a river in Nicaragua that serves as one of the tributaries feeding into Lake Xolotlán (Lake Managua).
  • E. Río Seco
    Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8109adff8819081426b44ae70bdfb completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:27 p.m.