Triple
T4525201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyacá Bridge |
E103359
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Ventaquemada
Ventaquemada is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and proximity to the historic Boyacá Bridge.
|
E449704
|
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: Ventaquemada | Statement: [Boyacá Bridge, hasNearbyTown, Ventaquemada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ventaquemada Context triple: [Boyacá Bridge, hasNearbyTown, Ventaquemada]
-
A.
Salmerón
Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Huixquilucan de Degollado
Huixquilucan de Degollado is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known for its rapid urban development and affluent residential zones.
-
D.
Castillejos
Castillejos is a municipality in the province of Zambales in the Philippines, known for its agricultural communities and proximity to the Subic Bay area.
-
E.
San Félix
San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
- 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: Ventaquemada Triple: [Boyacá Bridge, hasNearbyTown, Ventaquemada]
Generated description
Ventaquemada is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and proximity to the historic Boyacá Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ventaquemada Target entity description: Ventaquemada is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and proximity to the historic Boyacá Bridge.
-
A.
Salmerón
Salmerón is a Spanish surname associated with notable figures in religion, politics, and the arts.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Huixquilucan de Degollado
Huixquilucan de Degollado is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known for its rapid urban development and affluent residential zones.
-
D.
Castillejos
Castillejos is a municipality in the province of Zambales in the Philippines, known for its agricultural communities and proximity to the Subic Bay area.
-
E.
San Félix
San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4483aa481909a100bf20085d667 |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda5dc417c81909a9305167efcaa06 |
completed | March 20, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda6865dcc81908676d14395445832 |
completed | March 20, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.