Triple
T14758114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volcán de Fuego |
E346783
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Comala
Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
|
E1121034
|
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: Comala | Statement: [Volcán de Fuego, near, Comala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comala Context triple: [Volcán de Fuego, near, Comala]
-
A.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
-
B.
Melaque
Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
-
C.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
D.
Donnacona
Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
-
E.
Butambala
Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
- 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: Comala Triple: [Volcán de Fuego, near, Comala]
Generated description
Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Comala Target entity description: Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
-
A.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
-
B.
Melaque
Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
-
C.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
D.
Donnacona
Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
-
E.
Butambala
Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe263024e88190b2e838ff772c27c7 |
completed | May 8, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe267da8c8819094c8e9c8eef3c79c |
completed | May 8, 2026, 6:07 p.m. |
Created at: April 10, 2026, 1:30 a.m.