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.