Triple
T14762023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisco de Paula del Villar |
E346888
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Villar
Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
|
E1118888
|
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: Villar | Statement: [Francisco de Paula del Villar, familyName, Villar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villar Context triple: [Francisco de Paula del Villar, familyName, Villar]
-
A.
Villaba
Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
-
B.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
-
C.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
D.
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.
-
E.
Viladecans
Viladecans is a municipality in the Baix Llobregat comarca of the Barcelona metropolitan area in Catalonia, Spain.
- 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: Villar Triple: [Francisco de Paula del Villar, familyName, Villar]
Generated description
Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villar Target entity description: Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
-
A.
Villaba
Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
-
B.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
-
C.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
D.
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.
-
E.
Viladecans
Viladecans is a municipality in the Baix Llobregat comarca of the Barcelona metropolitan area in Catalonia, Spain.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf24c0081909221cb7d761e882f |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1913f01c8190917992cbcb8f0b62 |
completed | May 8, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe19c36dcc8190a8b3565d6e9cec04 |
completed | May 8, 2026, 5:13 p.m. |
Created at: April 10, 2026, 1:30 a.m.