Triple

T4002915
Position Surface form Disambiguated ID Type / Status
Subject Quetzaltenango E89455 entity
Predicate alternativeName P39 FINISHED
Object Xela
Xela is the commonly used local name for Quetzaltenango, a major highland city in western Guatemala known for its rich Mayan and colonial heritage.
 E407377 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: Xela | Statement: [Quetzaltenango, alternativeName, Xela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xela
Context triple: [Quetzaltenango, alternativeName, Xela]
  • A. Totonicapán
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • B. Izamal
    Izamal is a historic colonial town in Mexico’s Yucatán Peninsula, known for its striking yellow-painted buildings and important Mayan archaeological sites.
  • C. Tixtla
    Tixtla is a town and municipality in the Mexican state of Guerrero, historically notable as the birthplace of independence leader Vicente Guerrero.
  • D. Huatulco
    Huatulco is a coastal resort town on Mexico’s Pacific coast, renowned for its nine picturesque bays, sandy beaches, and eco-friendly tourism.
  • E. Toltén
    Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
  • 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: Xela
Triple: [Quetzaltenango, alternativeName, Xela]
Generated description
Xela is the commonly used local name for Quetzaltenango, a major highland city in western Guatemala known for its rich Mayan and colonial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xela
Target entity description: Xela is the commonly used local name for Quetzaltenango, a major highland city in western Guatemala known for its rich Mayan and colonial heritage.
  • A. Totonicapán
    Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
  • B. Izamal
    Izamal is a historic colonial town in Mexico’s Yucatán Peninsula, known for its striking yellow-painted buildings and important Mayan archaeological sites.
  • C. Tixtla
    Tixtla is a town and municipality in the Mexican state of Guerrero, historically notable as the birthplace of independence leader Vicente Guerrero.
  • D. Huatulco
    Huatulco is a coastal resort town on Mexico’s Pacific coast, renowned for its nine picturesque bays, sandy beaches, and eco-friendly tourism.
  • E. Toltén
    Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa44125881909f45ecd0a986c581 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c61bad48190a5115dbd4a3457d6 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.