Triple

T11988810
Position Surface form Disambiguated ID Type / Status
Subject Taxco de Alarcón E285350 entity
Predicate demonym P191 FINISHED
Object Taxqueña
Taxqueña is the Spanish demonym referring to a female inhabitant or native of the city of Taxco de Alarcón in Mexico.
 E958491 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: Taxqueña | Statement: [Taxco de Alarcón, demonym, Taxqueña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taxqueña
Context triple: [Taxco de Alarcón, demonym, Taxqueña]
  • A. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • B. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • C. Huixachtlan
    Huixachtlan was a significant Aztec ceremonial site associated with the renewal of time and cosmic order through the New Fire ritual.
  • D. Botorrita
    Botorrita is a municipality in the province of Zaragoza, Spain, best known for the discovery of ancient Celtiberian bronze inscriptions found there.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • 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: Taxqueña
Triple: [Taxco de Alarcón, demonym, Taxqueña]
Generated description
Taxqueña is the Spanish demonym referring to a female inhabitant or native of the city of Taxco de Alarcón in Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taxqueña
Target entity description: Taxqueña is the Spanish demonym referring to a female inhabitant or native of the city of Taxco de Alarcón in Mexico.
  • A. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • B. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • C. Huixachtlan
    Huixachtlan was a significant Aztec ceremonial site associated with the renewal of time and cosmic order through the New Fire ritual.
  • D. Botorrita
    Botorrita is a municipality in the province of Zaragoza, Spain, best known for the discovery of ancient Celtiberian bronze inscriptions found there.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472492ebc8190b064e691bb70e356 completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47b7c5af08190ab0bff1232530a0c completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47dd51e648190bddd41766221e22d completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.