Triple

T11066273
Position Surface form Disambiguated ID Type / Status
Subject Angangueo E261629 entity
Predicate hasNameInLanguage P15 FINISHED
Object Angangueo@es
Angangueo@es es la denominación en español de Angangueo, un pueblo minero y turístico del estado de Michoacán, México, conocido por su cercanía a los santuarios de la mariposa monarca.
E903391 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: Angangueo@es | Statement: [Angangueo, hasNameInLanguage, Angangueo@es]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angangueo@es
Context triple: [Angangueo, hasNameInLanguage, Angangueo@es]
  • A. ES
    ES is the ticker symbol for the E-mini S&P 500 futures contract, a widely traded equity index derivative on the Chicago Mercantile Exchange used for hedging and speculating on the S&P 500.
  • B. ES
    ES is the ISO 3166-1 alpha-2 country code for Spain, a European nation on the Iberian Peninsula.
  • C. ES
    ES is the commonly used abbreviation for European Solidarity, a Polish political party.
  • D. ES
    ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
  • E. Centro Virtual Cervantes
    Centro Virtual Cervantes is an online platform created by Instituto Cervantes dedicated to promoting and teaching the Spanish language and Hispanic cultures worldwide.
  • 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: Angangueo@es
Triple: [Angangueo, hasNameInLanguage, Angangueo@es]
Generated description
Angangueo@es es la denominación en español de Angangueo, un pueblo minero y turístico del estado de Michoacán, México, conocido por su cercanía a los santuarios de la mariposa monarca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Angangueo@es
Target entity description: Angangueo@es es la denominación en español de Angangueo, un pueblo minero y turístico del estado de Michoacán, México, conocido por su cercanía a los santuarios de la mariposa monarca.
  • A. ES
    ES is the commonly used abbreviation for European Solidarity, a Polish political party.
  • B. ES
    ES is the ISO 3166-1 alpha-2 country code for Spain, a European nation on the Iberian Peninsula.
  • C. ES
    ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
  • D. ES
    ES is the ticker symbol for the E-mini S&P 500 futures contract, a widely traded equity index derivative on the Chicago Mercantile Exchange used for hedging and speculating on the S&P 500.
  • E. Centro Virtual Cervantes
    Centro Virtual Cervantes is an online platform created by Instituto Cervantes dedicated to promoting and teaching the Spanish language and Hispanic cultures worldwide.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7991f84488190a974d1744a62798d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8a4cdb8819080765d746f477089 completed April 18, 2026, 6:08 p.m.
NEDg Description generation batch_69e3d5cf52d081909c006d0281b55b22 completed April 18, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69e3da9a5b148190863416c38403cbd3 completed April 18, 2026, 7:25 p.m.
Created at: April 8, 2026, 9:26 p.m.