Triple
T7702308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neiva |
E174528
|
entity |
| Predicate | departmentCode |
P9698
|
FINISHED |
| Object |
Huila
Huila is a department in southwestern Colombia known for its coffee production, the Tatacoa Desert, and the Betania and El Quimbo hydroelectric reservoirs.
|
E682946
|
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: Huila | Statement: [Neiva, departmentCode, Huila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huila Context triple: [Neiva, departmentCode, Huila]
-
A.
Espinal
Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
-
B.
Llanera
Llanera is a rural municipality in the province of Nueva Ecija in the Philippines, known primarily for its agricultural economy and rice farming.
-
C.
Bochica
Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
-
D.
Chinchiná
Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
-
E.
Sabaneta
Sabaneta is a small but densely populated municipality in the Medellín metropolitan area of Colombia’s Aburrá Valley, known for its rapid urban growth and residential character.
- 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: Huila Triple: [Neiva, departmentCode, Huila]
Generated description
Huila is a department in southwestern Colombia known for its coffee production, the Tatacoa Desert, and the Betania and El Quimbo hydroelectric reservoirs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huila Target entity description: Huila is a department in southwestern Colombia known for its coffee production, the Tatacoa Desert, and the Betania and El Quimbo hydroelectric reservoirs.
-
A.
Espinal
Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
-
B.
Llanera
Llanera is a rural municipality in the province of Nueva Ecija in the Philippines, known primarily for its agricultural economy and rice farming.
-
C.
Bochica
Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
-
D.
Chinchiná
Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
-
E.
Sabaneta
Sabaneta is a small but densely populated municipality in the Medellín metropolitan area of Colombia’s Aburrá Valley, known for its rapid urban growth and residential character.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7028a2f9881908a2f1a257566fb7b |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acbc2024819083576f5a11c1e3a8 |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adeb3948819087404b0d7d7e619e |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aedede388190b8eb79cea223c31c |
completed | March 29, 2026, 4:47 a.m. |
Created at: March 27, 2026, 4:03 p.m.