Triple
T9823496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aibonito |
E238594
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Manuel Vélez
Manuel Vélez was a historical figure credited with founding the Puerto Rican municipality of Aibonito.
|
E850499
|
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: Manuel Vélez | Statement: [Aibonito, foundedBy, Manuel Vélez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuel Vélez Context triple: [Aibonito, foundedBy, Manuel Vélez]
-
A.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
B.
Jorge Luis Vélez
Jorge Luis Vélez is a Colombian politician who has served in various public offices, including as president of the Liberal Party and as a senator.
-
C.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
D.
Manuel E. Amador
Manuel E. Amador was a Panamanian figure best known for creating the design of Panama’s national flag.
-
E.
Francisco Marroquín
Francisco Marroquín was a 16th-century Spanish bishop and the first bishop of Guatemala, known for his role in the early evangelization and administration of the region during the colonial period.
- 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: Manuel Vélez Triple: [Aibonito, foundedBy, Manuel Vélez]
Generated description
Manuel Vélez was a historical figure credited with founding the Puerto Rican municipality of Aibonito.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manuel Vélez Target entity description: Manuel Vélez was a historical figure credited with founding the Puerto Rican municipality of Aibonito.
-
A.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
B.
Jorge Luis Vélez
Jorge Luis Vélez is a Colombian politician who has served in various public offices, including as president of the Liberal Party and as a senator.
-
C.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
D.
Manuel E. Amador
Manuel E. Amador was a Panamanian figure best known for creating the design of Panama’s national flag.
-
E.
Francisco Marroquín
Francisco Marroquín was a 16th-century Spanish bishop and the first bishop of Guatemala, known for his role in the early evangelization and administration of the region during the colonial period.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb316f8948190ada3738787a5cb6a |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a77b6fac81909a9b0998f5dd1e58 |
completed | April 8, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d6aac2dc4c819088a8c29d604cf9ce |
completed | April 8, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6d02015bc8190a7041a7d725c8a1b |
completed | April 8, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:31 p.m.