Triple
T11979571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolivian Primera División |
E285121
|
entity |
| Predicate | hasMemberClub |
P28388
|
FINISHED |
| Object |
Vaca Díez
Vaca Díez is a Bolivian professional football club that competes in the country’s top-tier league.
|
E958042
|
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: Vaca Díez | Statement: [Bolivian Primera División, hasMemberClub, Vaca Díez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaca Díez Context triple: [Bolivian Primera División, hasMemberClub, Vaca Díez]
-
A.
León de la Barra
León de la Barra is the surname of Francisco León de la Barra, a Mexican lawyer, diplomat, and interim president of Mexico in 1911.
-
B.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
C.
Oliba Cabreta
Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
- 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: Vaca Díez Triple: [Bolivian Primera División, hasMemberClub, Vaca Díez]
Generated description
Vaca Díez is a Bolivian professional football club that competes in the country’s top-tier league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaca Díez Target entity description: Vaca Díez is a Bolivian professional football club that competes in the country’s top-tier league.
-
A.
León de la Barra
León de la Barra is the surname of Francisco León de la Barra, a Mexican lawyer, diplomat, and interim president of Mexico in 1911.
-
B.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
C.
Oliba Cabreta
Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47209bd088190bf4c7687c0a5eed6 |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.