Triple

T7350179
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Amula E169477 entity
Predicate containsMunicipality P852 FINISHED
Object Tenamaxtlán E681295 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: Tenamaxtlán | Statement: [Sierra de Amula, containsMunicipality, Tenamaxtlán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenamaxtlán
Context triple: [Sierra de Amula, containsMunicipality, Tenamaxtlán]
  • A. Tultitlán
    Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
  • B. Tototlán chosen
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional culture.
  • C. Eloxochitlán
    Eloxochitlán is a locality in the Mexican state of Hidalgo that lies within the geologically significant Comarca Minera UNESCO Global Geopark.
  • D. Cuilápam
    Cuilápam is a town in the state of Oaxaca, Mexico, historically notable as the site where independence leader Vicente Guerrero was executed.
  • E. Ixtaczoquitlán
    Ixtaczoquitlán is a municipality in the Mexican state of Veracruz that forms part of the urban and economic region surrounding the city of Orizaba.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f107b88c81908bb5f8deb40ab70b completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7adaf3c819095214864b91316f6 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:05 p.m.