Triple
T12504812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nueva Vizcaya |
E298920
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Villaverde
Villaverde is a small municipality in the Philippine province of Nueva Vizcaya, known for its rural landscapes and agricultural economy.
|
E986359
|
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: Villaverde | Statement: [Nueva Vizcaya, hasCity, Villaverde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villaverde Context triple: [Nueva Vizcaya, hasCity, Villaverde]
-
A.
Villaverde
Villaverde is a small village in the municipality of La Oliva on the island of Fuerteventura in Spain’s Canary Islands.
-
B.
Villaverde Alto
Villaverde Alto is a Madrid Metro station in the Villaverde district that serves as a key southern endpoint and transport hub for local commuters.
-
C.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
D.
Collado Villalba
Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
-
E.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
- 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: Villaverde Triple: [Nueva Vizcaya, hasCity, Villaverde]
Generated description
Villaverde is a small municipality in the Philippine province of Nueva Vizcaya, known for its rural landscapes and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villaverde Target entity description: Villaverde is a small municipality in the Philippine province of Nueva Vizcaya, known for its rural landscapes and agricultural economy.
-
A.
Villaverde
Villaverde is a small village in the municipality of La Oliva on the island of Fuerteventura in Spain’s Canary Islands.
-
B.
Villaverde Alto
Villaverde Alto is a Madrid Metro station in the Villaverde district that serves as a key southern endpoint and transport hub for local commuters.
-
C.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
D.
Collado Villalba
Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
-
E.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb5af708190b3786da334c3bf23 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64db823bc819098152a96db960b10 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 8, 2026, 9:57 p.m.