Triple

T7589349
Position Surface form Disambiguated ID Type / Status
Subject Navojoa E179694 entity
Predicate nearbyCity P350 FINISHED
Object Los Mochis E160334 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: Los Mochis | Statement: [Navojoa, nearbyCity, Los Mochis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Mochis
Context triple: [Navojoa, nearbyCity, Los Mochis]
  • A. Los Mochis chosen
    Los Mochis is a major city in northwestern Mexico known as an important agricultural, commercial, and transportation hub in the state of Sinaloa.
  • B. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • C. Tuxpam
    Tuxpam is an alternative spelling of Tuxpan, a coastal city and important port in the Mexican state of Veracruz.
  • D. Copilco
    Copilco is a station on Mexico City’s Metro system, serving the Copilco neighborhood near the National Autonomous University of Mexico (UNAM).
  • E. Tlacotalpan
    Tlacotalpan is a historic riverside town in the Mexican state of Veracruz, renowned for its well-preserved colonial architecture and recognized as a UNESCO World Heritage Site.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99991948190af1fb0635895ad94 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a957e2881909c7592f673bea26f completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:52 p.m.