Triple
T19579336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cibao region |
E489945
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Bonao |
—
|
NE NERFINISHED |
How this triple was built (2 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: Bonao | Statement: [Cibao region, containsCity, Bonao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonao Context triple: [Cibao region, containsCity, Bonao]
-
A.
Bonao
chosen
Bonao is a central Dominican Republic city known for its mining industry, agriculture, and role as a commercial hub in the Cibao region.
-
B.
Aibonito
Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
-
C.
Higüey
Higüey is a city in the eastern Dominican Republic known as a regional commercial center and a gateway to nearby resort areas like Punta Cana.
-
D.
Baracoa
Baracoa is a historic coastal city in eastern Cuba, known as the island’s oldest Spanish settlement and for its lush tropical landscape and cocoa production.
-
E.
Puerto Plata
Puerto Plata is a historic coastal city in the Dominican Republic known for its significant Afro-Dominican population, tourism, and role as a major port on the Atlantic coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.