Triple

T15807288
Position Surface form Disambiguated ID Type / Status
Subject Xalapa E383250 entity
Predicate near P350 FINISHED
Object Banderilla
Banderilla is a small municipality in the Mexican state of Veracruz, known for its proximity to the state capital Xalapa and its role as part of the region’s urban corridor.
 E1177795 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: Banderilla | Statement: [Xalapa, near, Banderilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banderilla
Context triple: [Xalapa, near, Banderilla]
  • A. Navajas
    Navajas is a knife-throwing assassin portrayed by Danny Trejo in the action film "Desperado."
  • B. Machetá
    Machetá is a municipality and town in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá.
  • C. Las Banderillas
    Las Banderillas is a prominent mountain peak in Spain’s Sierra de Segura range, known for its rugged terrain and panoramic views over the surrounding natural park.
  • D. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • E. Bandera
    Bandera is a small Texas town known as the "Cowboy Capital of the World," famed for its Western heritage, dude ranches, and country music culture.
  • 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: Banderilla
Triple: [Xalapa, near, Banderilla]
Generated description
Banderilla is a small municipality in the Mexican state of Veracruz, known for its proximity to the state capital Xalapa and its role as part of the region’s urban corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banderilla
Target entity description: Banderilla is a small municipality in the Mexican state of Veracruz, known for its proximity to the state capital Xalapa and its role as part of the region’s urban corridor.
  • A. Navajas
    Navajas is a knife-throwing assassin portrayed by Danny Trejo in the action film "Desperado."
  • B. Machetá
    Machetá is a municipality and town in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá.
  • C. Las Banderillas
    Las Banderillas is a prominent mountain peak in Spain’s Sierra de Segura range, known for its rugged terrain and panoramic views over the surrounding natural park.
  • D. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • E. Bandera
    Bandera is a small Texas town known as the "Cowboy Capital of the World," famed for its Western heritage, dude ranches, and country music culture.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52751348190964e82463ce9dd20 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a32d6bc81909d8023de562a2517 completed May 9, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff9adb25448190b805046ae6c3ee17 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:48 a.m.