Triple

T11802438
Position Surface form Disambiguated ID Type / Status
Subject Puebla metropolitan area E280659 entity
Predicate hasCity P316 FINISHED
Object Coronango
Coronango is a municipality and growing suburban city in the Mexican state of Puebla that forms part of the Puebla metropolitan area.
 E947211 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: Coronango | Statement: [Puebla metropolitan area, hasCity, Coronango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coronango
Context triple: [Puebla metropolitan area, hasCity, Coronango]
  • A. Guimba
    Guimba is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its extensive rice fields and rural communities.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • D. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • E. Tambor
    Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
  • 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: Coronango
Triple: [Puebla metropolitan area, hasCity, Coronango]
Generated description
Coronango is a municipality and growing suburban city in the Mexican state of Puebla that forms part of the Puebla metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coronango
Target entity description: Coronango is a municipality and growing suburban city in the Mexican state of Puebla that forms part of the Puebla metropolitan area.
  • A. Guimba
    Guimba is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its extensive rice fields and rural communities.
  • B. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • C. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • D. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • E. Tambor
    Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
NEDg Description generation batch_69f141b1c50c819081a8055d951a49de completed April 28, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f14fcb63208190ad1185ad66314fa9 completed April 29, 2026, 12:24 a.m.
Created at: April 8, 2026, 9:42 p.m.