Triple

T16469364
Position Surface form Disambiguated ID Type / Status
Subject La Paz Department E400018 entity
Predicate hasMunicipality P847 FINISHED
Object Tapalhuaca
Tapalhuaca is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
E1259776 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: Tapalhuaca | Statement: [La Paz Department, hasMunicipality, Tapalhuaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapalhuaca
Context triple: [La Paz Department, hasMunicipality, Tapalhuaca]
  • A. Ixhuatlancillo
    Ixhuatlancillo is a municipality in the Mexican state of Veracruz that forms part of the urban and economic region surrounding the city of Orizaba.
  • B. Tlatlauquitepec
    Tlatlauquitepec is a picturesque town and municipality in the Sierra Norte region of Puebla, Mexico, known for its mountainous landscapes, colonial architecture, and ecotourism activities.
  • C. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • D. Zapotitlán
    Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
  • E. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional 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: Tapalhuaca
Triple: [La Paz Department, hasMunicipality, Tapalhuaca]
Generated description
Tapalhuaca is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tapalhuaca
Target entity description: Tapalhuaca is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
  • A. Ixhuatlancillo
    Ixhuatlancillo is a municipality in the Mexican state of Veracruz that forms part of the urban and economic region surrounding the city of Orizaba.
  • B. Tlatlauquitepec
    Tlatlauquitepec is a picturesque town and municipality in the Sierra Norte region of Puebla, Mexico, known for its mountainous landscapes, colonial architecture, and ecotourism activities.
  • C. Tututepec
    Tututepec was a prominent pre-Columbian Mixtec city-state and political center located on the Pacific coast of present-day Oaxaca, Mexico.
  • D. Zapotitlán
    Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
  • E. Tototlán
    Tototlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural economy and traditional regional 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179313470819090351e937ea34701 completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a01798f94948190ae8021e5d4119ca1 completed May 11, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0179e4d5148190bf8049a5e0063852 completed May 11, 2026, 6:40 a.m.
Created at: April 10, 2026, 5:11 a.m.