Triple

T13427910
Position Surface form Disambiguated ID Type / Status
Subject Chiapas Highlands E313531 entity
Predicate containsMunicipality P852 FINISHED
Object Tenejapa E891677 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: Tenejapa | Statement: [Chiapas Highlands, containsMunicipality, Tenejapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tenejapa
Context triple: [Chiapas Highlands, containsMunicipality, Tenejapa]
  • A. Tenejapa chosen
    Tenejapa is a highland municipality in the Mexican state of Chiapas known for its predominantly Tzeltal Maya population and rich indigenous cultural traditions.
  • B. Santiago Tuxtla
    Santiago Tuxtla is a historic town and municipality in the Los Tuxtlas region of Veracruz, Mexico, known for its rich pre-Hispanic heritage and proximity to volcanic landscapes.
  • C. Panajachel
    Panajachel is a popular lakeside town on the shores of Lake Atitlán in Guatemala, known for its scenic volcano views and vibrant tourism scene.
  • D. Amatlán de Cañas
    Amatlán de Cañas is a small municipality and town in the southern part of the Mexican state of Nayarit, known for its mountainous terrain, hot springs, and traditional rural character.
  • E. Amatitán
    Amatitán is a town in the Mexican state of Jalisco known as part of the historic tequila-producing region and a center of agave cultivation and distillation.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed1f9208190bf5ef5b8a7ded376 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba16b948190b7e753368eabf012 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:40 p.m.