Triple
T9724777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Clara Province |
E235578
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
|
E817437
|
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: Caibarién | Statement: [Villa Clara Province, hasMunicipality, Caibarién]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caibarién Context triple: [Villa Clara Province, hasMunicipality, Caibarién]
-
A.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
B.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
C.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
D.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
-
E.
Carazo
Carazo is a department in southwestern Nicaragua known for its agricultural production and proximity to the Pacific coast.
- 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: Caibarién Triple: [Villa Clara Province, hasMunicipality, Caibarién]
Generated description
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caibarién Target entity description: Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
A.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
B.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
C.
San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
-
D.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
-
E.
Carazo
Carazo is a department in southwestern Nicaragua known for its agricultural production and proximity to the Pacific coast.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19faa064081909c1d23044984a17c |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a3cc5420819091ee338da5afe4b7 |
completed | April 4, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a5f265148190af432e3640221a33 |
completed | April 4, 2026, 11:59 p.m. |
Created at: March 30, 2026, 8:21 p.m.