Triple
T4941042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collado Villalba |
E110932
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
villalbino
A villalbino is a resident or native of Collado Villalba, a municipality in the Community of Madrid, Spain.
|
E481288
|
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: villalbino | Statement: [Collado Villalba, demonym, villalbino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: villalbino Context triple: [Collado Villalba, demonym, villalbino]
-
A.
Vicálvaro
Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
-
B.
Villanubla
Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
-
C.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
D.
Villa de Aragón
Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
-
E.
Soto de Viñuelas
Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
- 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: villalbino Triple: [Collado Villalba, demonym, villalbino]
Generated description
A villalbino is a resident or native of Collado Villalba, a municipality in the Community of Madrid, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: villalbino Target entity description: A villalbino is a resident or native of Collado Villalba, a municipality in the Community of Madrid, Spain.
-
A.
Vicálvaro
Vicálvaro is a district in the southeast of Madrid, Spain, known for its residential character and educational institutions, including a campus of Rey Juan Carlos University.
-
B.
Villanubla
Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
-
C.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
-
D.
Villa de Aragón
Villa de Aragón is a Mexico City Metrobús station that serves as the terminus of Line 6 in the northeastern part of the city.
-
E.
Soto de Viñuelas
Soto de Viñuelas is a protected natural area in the Madrid region of Spain, known for its Mediterranean woodlands, wildlife, and role as a peri-urban green space near the Jarama River.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c19090819084f6b98d22c2b3a0 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be79617a788190a2e7ae0a234002da |
completed | March 21, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be79ce18a48190a61880aaa00f02e0 |
completed | March 21, 2026, 10:58 a.m. |
Created at: March 20, 2026, 1:31 p.m.