Triple

T13876441
Position Surface form Disambiguated ID Type / Status
Subject Colima E333594 entity
Predicate hasMunicipality P847 FINISHED
Object Tecomán E1065133 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: Tecomán | Statement: [Colima, hasMunicipality, Tecomán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tecomán
Context triple: [Colima, hasMunicipality, Tecomán]
  • A. Tecomán chosen
    Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
  • B. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • C. Tuxpan
    Tuxpan is a port city in the Mexican state of Veracruz, known for its Gulf Coast location and historical role as a departure point in the Cuban Revolution.
  • D. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • E. Tepatitlán de Morelos
    Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional culture.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 10:15 p.m.