Triple

T10847299
Position Surface form Disambiguated ID Type / Status
Subject Tzeltal people E256045 entity
Predicate mainMunicipality P91674 FINISHED
Object Yajalón
Yajalón is a town and municipality in the Mexican state of Chiapas, known as an important cultural and population center for the Tzeltal Maya people.
E891178 NE FINISHED

How this triple was built (4 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: Yajalón | Statement: [Tzeltal people, mainMunicipality, Yajalón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yajalón
Context triple: [Tzeltal people, mainMunicipality, Yajalón]
  • A. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • B. Oroquieta
    Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
  • C. Valle del Lozoya
    Valle del Lozoya is a scenic highland valley in central Spain known for its rivers, forests, and traditional mountain villages within the Sierra de Guadarrama.
  • D. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • E. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yajalón
Triple: [Tzeltal people, mainMunicipality, Yajalón]
Generated description
Yajalón is a town and municipality in the Mexican state of Chiapas, known as an important cultural and population center for the Tzeltal Maya people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yajalón
Target entity description: Yajalón is a town and municipality in the Mexican state of Chiapas, known as an important cultural and population center for the Tzeltal Maya people.
  • A. Ubaque
    Ubaque is a municipality in central Colombia known for its rural Andean landscapes and traditional agricultural communities.
  • B. Oroquieta
    Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
  • C. Valle del Lozoya
    Valle del Lozoya is a scenic highland valley in central Spain known for its rivers, forests, and traditional mountain villages within the Sierra de Guadarrama.
  • D. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • E. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • F. None of above. chosen

Provenance (5 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75113bc188190ac78df0c51d95de6 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.