Triple
T1354529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayarit |
E28956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
La Yesca
La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
|
E157566
|
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: La Yesca | Statement: [Nayarit, contains, La Yesca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Yesca Context triple: [Nayarit, contains, La Yesca]
-
A.
San Juan de Rioseco
San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
-
B.
Salmerón
Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
-
C.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
-
D.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
E.
San Javier
San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
- 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: La Yesca Triple: [Nayarit, contains, La Yesca]
Generated description
La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Yesca Target entity description: La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
-
A.
San Juan de Rioseco
San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
-
B.
Salmerón
Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
-
C.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
-
D.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
E.
San Javier
San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd47b63c081908a859a88ad5564b8 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd5314ac08190abf0ed287689dc5f |
completed | March 8, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd59842f08190976724ad981de3d8 |
completed | March 8, 2026, 1:49 a.m. |
Created at: March 1, 2026, 7:56 p.m.