Triple
T3135079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aguascalientes |
E65507
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Calvillo
Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
|
E328848
|
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: Calvillo | Statement: [Aguascalientes, hasMunicipality, Calvillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvillo Context triple: [Aguascalientes, hasMunicipality, Calvillo]
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
D.
Acuña
Acuña is a Mexican border city in the state of Coahuila, located across the Rio Grande from Del Rio, Texas.
-
E.
Azcárraga
Azcárraga is a prominent Mexican family name best known for its association with media magnates who have led the Televisa broadcasting empire.
- 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: Calvillo Triple: [Aguascalientes, hasMunicipality, Calvillo]
Generated description
Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calvillo Target entity description: Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
-
A.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
D.
Acuña
Acuña is a Mexican border city in the state of Coahuila, located across the Rio Grande from Del Rio, Texas.
-
E.
Azcárraga
Azcárraga is a prominent Mexican family name best known for its association with media magnates who have led the Televisa broadcasting empire.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5637de0819089393429c4017298 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f8793488190aa31040edaf1d627 |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2103d83688190b107ecbacac604c1 |
completed | March 12, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b210a290088190aaa10a015519e1de |
completed | March 12, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:05 p.m.