Triple
T3135078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aguascalientes |
E65507
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Jesús María
Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
|
E328847
|
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: Jesús María | Statement: [Aguascalientes, hasMunicipality, Jesús María]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesús María Context triple: [Aguascalientes, hasMunicipality, Jesús María]
-
A.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
-
B.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
C.
José
José is the given first name of former Major League Baseball player and coach Joey Cora.
-
D.
Juan Diego
Juan Diego is the 16th-century indigenous Mexican Catholic saint who reported the apparitions of Our Lady of Guadalupe, a pivotal event in Mexican religious history.
-
E.
Gregorio
Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
- 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: Jesús María Triple: [Aguascalientes, hasMunicipality, Jesús María]
Generated description
Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jesús María Target entity description: Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
-
A.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
-
B.
José
José is the given first name of Major League Baseball manager and former player Alex Cora.
-
C.
José
José is the given first name of former Major League Baseball player and coach Joey Cora.
-
D.
Juan Diego
Juan Diego is the 16th-century indigenous Mexican Catholic saint who reported the apparitions of Our Lady of Guadalupe, a pivotal event in Mexican religious history.
-
E.
Gregorio
Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
- 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.