Triple

T4242647
Position Surface form Disambiguated ID Type / Status
Subject Chalchicomula de Sesma Municipality E95449 entity
Predicate namedAfter P63 FINISHED
Object Sesma
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
 E425304 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: Sesma | Statement: [Chalchicomula de Sesma Municipality, namedAfter, Sesma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sesma
Context triple: [Chalchicomula de Sesma Municipality, namedAfter, Sesma]
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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: Sesma
Triple: [Chalchicomula de Sesma Municipality, namedAfter, Sesma]
Generated description
Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sesma
Target entity description: Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • C. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • D. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • E. Varela
    Varela is a Spanish surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e891bc08190831187da4f553f48 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a872fd6881908a3fbe37e7c35c92 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8e024a081909e7ecbe969793281 completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5acefd1f881908226ff68a741552b completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:05 p.m.