Triple
T7787274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guainía Department |
E187278
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Inírida
Inírida is a remote Colombian town in the Amazon-Orinoco region, known for its surrounding rivers, biodiversity, and indigenous communities.
|
E692865
|
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: Inírida | Statement: [Guainía Department, hasCapital, Inírida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inírida Context triple: [Guainía Department, hasCapital, Inírida]
-
A.
Pomerape
Pomerape is a stratovolcano in the Andes Mountains on the border between Chile and Bolivia, known as part of the Nevados de Payachata volcanic group.
-
B.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
C.
Tocaima
Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
-
D.
Marmato
Marmato is a historic Colombian mining town in the Caldas Department, renowned for its centuries-old gold extraction and terraced mountainside setting.
-
E.
San Juan de Urabá
San Juan de Urabá is a coastal municipality in northern Colombia known for its agricultural economy and location near the Gulf of Urabá in the Caribbean 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: Inírida Triple: [Guainía Department, hasCapital, Inírida]
Generated description
Inírida is a remote Colombian town in the Amazon-Orinoco region, known for its surrounding rivers, biodiversity, and indigenous communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inírida Target entity description: Inírida is a remote Colombian town in the Amazon-Orinoco region, known for its surrounding rivers, biodiversity, and indigenous communities.
-
A.
Pomerape
Pomerape is a stratovolcano in the Andes Mountains on the border between Chile and Bolivia, known as part of the Nevados de Payachata volcanic group.
-
B.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
C.
Tocaima
Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
-
D.
Marmato
Marmato is a historic Colombian mining town in the Caldas Department, renowned for its centuries-old gold extraction and terraced mountainside setting.
-
E.
San Juan de Urabá
San Juan de Urabá is a coastal municipality in northern Colombia known for its agricultural economy and location near the Gulf of Urabá in the Caribbean 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf6123ad48190a50339073e91748c |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ff934819094f8089b0bd8dde7 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa512e748190a52fe462d3d59f06 |
completed | March 30, 2026, 10:33 p.m. |
Created at: March 30, 2026, 4:24 p.m.