Triple
T6201776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalete River |
E138650
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Villamartín
Villamartín is a town in the province of Cádiz in Andalusia, southern Spain, known for its agricultural surroundings and proximity to the Sierra de Grazalema.
|
E575897
|
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: Villamartín | Statement: [Guadalete River, flowsThrough, Villamartín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villamartín Context triple: [Guadalete River, flowsThrough, Villamartín]
-
A.
Villanubla
Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
-
B.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
-
C.
Villanueva del Pardillo
Villanueva del Pardillo is a municipality in the Community of Madrid, Spain, known for its residential character and proximity to the capital.
-
D.
Castejón
Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
-
E.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
- 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: Villamartín Triple: [Guadalete River, flowsThrough, Villamartín]
Generated description
Villamartín is a town in the province of Cádiz in Andalusia, southern Spain, known for its agricultural surroundings and proximity to the Sierra de Grazalema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villamartín Target entity description: Villamartín is a town in the province of Cádiz in Andalusia, southern Spain, known for its agricultural surroundings and proximity to the Sierra de Grazalema.
-
A.
Villanubla
Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
-
B.
Higuillar
Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
-
C.
Villanueva del Pardillo
Villanueva del Pardillo is a municipality in the Community of Madrid, Spain, known for its residential character and proximity to the capital.
-
D.
Castejón
Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
-
E.
Fuentealbilla
Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062559bcc81908942bb4d25fe8158 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f366cfc81909cca73677268821a |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e375c5948190ad166089e866694a |
completed | March 24, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e43fa8348190a2247996d88b5011 |
completed | March 24, 2026, 1:09 a.m. |
Created at: March 22, 2026, 4:20 p.m.