Triple
T18639076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estelí Department |
E455633
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
La Trinidad
La Trinidad is a Nicaraguan town and municipality known for its agricultural activities and location within the northern highlands.
|
E1334677
|
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: [Estelí Department, hasMunicipality, La Trinidad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Trinidad Context triple: [Estelí Department, hasMunicipality, La Trinidad]
-
A.
La Trinidad
La Trinidad is a town located within the Comayagua Department in central Honduras.
-
B.
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.
-
C.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
D.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
E.
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.
- 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: [Estelí Department, hasMunicipality, La Trinidad]
Generated description
La Trinidad is a Nicaraguan town and municipality known for its agricultural activities and location within the northern highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Trinidad Target entity description: La Trinidad is a Nicaraguan town and municipality known for its agricultural activities and location within the northern highlands.
-
A.
La Trinidad
La Trinidad is a town located within the Comayagua Department in central Honduras.
-
B.
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.
-
C.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
D.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
E.
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.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcac2d48190a15ce8cc8e175198 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d8447e48190b496903add62b2bb |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f560d088190bd23765330dcef47 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050fc2dd2c81909e3c929f57b299d5 |
completed | May 13, 2026, 11:56 p.m. |
Created at: April 10, 2026, 11:47 a.m.