Triple
T19610045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominican Alps |
E470706
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | town of Jarabacoa |
—
|
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: town of Jarabacoa | Statement: [Dominican Alps, contains, town of Jarabacoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Jarabacoa Context triple: [Dominican Alps, contains, town of Jarabacoa]
-
A.
Jarabacoa
chosen
Jarabacoa is a mountainous town in the Dominican Republic known for its cool climate, rivers, and outdoor adventure tourism.
-
B.
Caibarién town
Caibarién is a coastal town in central Cuba known historically as a fishing and port community with a strong maritime and sugar-exporting tradition.
-
C.
Bayamo
Bayamo is one of Cuba’s oldest colonial cities, historically significant as an early Spanish settlement and a center of Cuban independence sentiment.
-
D.
San Juan de la Maguana
San Juan de la Maguana is a historic city in the western Dominican Republic known as a regional agricultural center and gateway to the country’s central mountain range.
-
E.
Aguas Buenas
Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ca57a081909c05000fca52271f |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.