Triple
T7107768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rosario |
E165629
|
entity |
| Predicate | capitalOfMunicipality |
P15510
|
FINISHED |
| Object |
La Esperanza
La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
|
E642557
|
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: La Esperanza | Statement: [El Rosario, capitalOfMunicipality, La Esperanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Esperanza Context triple: [El Rosario, capitalOfMunicipality, La Esperanza]
-
A.
Esperanza
Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
-
B.
Esperanza
Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
-
C.
Nueva Paz
Nueva Paz is a municipality in western Cuba known for its rural character and location within the province surrounding Havana.
-
D.
Los Ríos
Los Ríos is an administrative region in southern Chile known for its rivers, lakes, and temperate rainforests.
-
E.
El Empalme
El Empalme is a town and canton in coastal Ecuador known for its agricultural activity, particularly in the fertile lowlands of Guayas Province.
- 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: La Esperanza Triple: [El Rosario, capitalOfMunicipality, La Esperanza]
Generated description
La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Esperanza Target entity description: La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
-
A.
Esperanza
Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
-
B.
Esperanza
Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
-
C.
Nueva Paz
Nueva Paz is a municipality in western Cuba known for its rural character and location within the province surrounding Havana.
-
D.
Los Ríos
Los Ríos is an administrative region in southern Chile known for its rivers, lakes, and temperate rainforests.
-
E.
El Empalme
El Empalme is a town and canton in coastal Ecuador known for its agricultural activity, particularly in the fertile lowlands of Guayas Province.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bbd4e481909e0948d01c6b15f4 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb4840881908196e447618b38b0 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79e779190819095aa5ab32c150d44 |
completed | March 28, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79f0b2a6c819091a2d72942f8f8c5 |
completed | March 28, 2026, 9:27 a.m. |
Created at: March 27, 2026, 2:42 p.m.