Triple
T21544316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curarén |
E531578
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Curarén (town)
Curarén is a small town in Honduras known for its rural character and role as a local administrative center.
|
E531578
|
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: Curarén (town) | Statement: [Curarén, hasCapital, Curarén (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curarén (town) Context triple: [Curarén, hasCapital, Curarén (town)]
-
A.
Curarén
Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
-
B.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
C.
Panguipulli
Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
-
D.
Yaguajay town
Yaguajay town is a small Cuban municipality known for its historical significance in the Cuban Revolution and its location in the northern part of Sancti Spíritus Province.
-
E.
Curan
Curan is a small rural commune in the Aveyron department of southern France, known for its proximity to the large artificial Lac de Pareloup and its agricultural landscape.
- 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: Curarén (town) Triple: [Curarén, hasCapital, Curarén (town)]
Generated description
Curarén is a small town in Honduras known for its rural character and role as a local administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Curarén (town) Target entity description: Curarén is a small town in Honduras known for its rural character and role as a local administrative center.
-
A.
Curarén
chosen
Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
-
B.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
C.
Panguipulli
Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
-
D.
Yaguajay town
Yaguajay town is a small Cuban municipality known for its historical significance in the Cuban Revolution and its location in the northern part of Sancti Spíritus Province.
-
E.
Curan
Curan is a small rural commune in the Aveyron department of southern France, known for its proximity to the large artificial Lac de Pareloup and its agricultural landscape.
- F. None of above.
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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58d66ec8190b654a46932c841d3 |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eedb88508190b4ee4f3bbf1d48e1 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09f04a3a4881909d9bdea7a3d07437 |
completed | May 17, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f0a92c2081909b7c91031eb84607 |
completed | May 17, 2026, 4:45 p.m. |
Created at: April 16, 2026, 6:28 p.m.