Triple
T14011565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguet |
E337091
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
La Trinidad
La Trinidad is a municipality in the Philippines known as the capital of Benguet province and for its strawberry farms and cool highland climate.
|
E1073025
|
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 Trinidad | Statement: [Benguet, hasCapital, La Trinidad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Trinidad Context triple: [Benguet, hasCapital, La Trinidad]
-
A.
La Trinidad
La Trinidad is a town located within the Comayagua Department in central Honduras.
-
B.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
C.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
D.
San Miguelito
San Miguelito is a densely populated urban city in the Panama City metropolitan area, known as one of Panama’s largest and most important residential and commercial centers.
-
E.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
- 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 Trinidad Triple: [Benguet, hasCapital, La Trinidad]
Generated description
La Trinidad is a municipality in the Philippines known as the capital of Benguet province and for its strawberry farms and cool highland climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Trinidad Target entity description: La Trinidad is a municipality in the Philippines known as the capital of Benguet province and for its strawberry farms and cool highland climate.
-
A.
La Trinidad
La Trinidad is a town located within the Comayagua Department in central Honduras.
-
B.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
C.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
D.
San Miguelito
San Miguelito is a densely populated urban city in the Panama City metropolitan area, known as one of Panama’s largest and most important residential and commercial centers.
-
E.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.