Triple
T19588710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valles del Tuy region |
E470171
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Santa Lucía
Santa Lucía is a principal town in Venezuela’s Valles del Tuy region, known as a local administrative and commercial center.
|
E1385633
|
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: Santa Lucía | Statement: [Valles del Tuy region, hasMajorTown, Santa Lucía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Lucía Context triple: [Valles del Tuy region, hasMajorTown, Santa Lucía]
-
A.
Santa Lucía
Santa Lucía is a picturesque colonial-era town in central Honduras known for its cobblestone streets, historic church, and scenic views near the capital, Tegucigalpa.
-
B.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
C.
Santa Lucía
Santa Lucía is a small rural municipality in Nicaragua’s central Boaco Department, known for its agricultural economy and traditional countryside lifestyle.
-
D.
Santa Lucía
Santa Lucía is a municipality in northern Colombia’s Caribbean region, located within the Atlántico Department.
-
E.
Fernandina de Jagua
Fernandina de Jagua was the original colonial name of the Cuban city now known as Cienfuegos, an important port on the island’s southern coast.
- 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: Santa Lucía Triple: [Valles del Tuy region, hasMajorTown, Santa Lucía]
Generated description
Santa Lucía is a principal town in Venezuela’s Valles del Tuy region, known as a local administrative and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Lucía Target entity description: Santa Lucía is a principal town in Venezuela’s Valles del Tuy region, known as a local administrative and commercial center.
-
A.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
B.
Santa Lucía
Santa Lucía is a picturesque colonial-era town in central Honduras known for its cobblestone streets, historic church, and scenic views near the capital, Tegucigalpa.
-
C.
Santa Lucía
Santa Lucía is a small rural municipality in Nicaragua’s central Boaco Department, known for its agricultural economy and traditional countryside lifestyle.
-
D.
Santa Lucía
Santa Lucía is a municipality in northern Colombia’s Caribbean region, located within the Atlántico Department.
-
E.
Fernandina de Jagua
Fernandina de Jagua was the original colonial name of the Cuban city now known as Cienfuegos, an important port on the island’s southern coast.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f12fe008190bf2aaf7c63c44467 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a0760583b588190b8f648acc26bc1ae |
completed | May 15, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0761223cc081908e08a33eda54d222 |
completed | May 15, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:43 p.m.