Triple
T26713365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saona Island |
E673480
|
entity |
| Predicate | popularExcursionFrom |
P24031
|
FINISHED |
| Object | Punta Cana |
—
|
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: Punta Cana | Statement: [Saona Island, popularExcursionFrom, Punta Cana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularExcursionFrom Context triple: [Saona Island, popularExcursionFrom, Punta Cana]
-
A.
popularRouteOn
Indicates that a particular route is frequently used or favored on a given transportation line, service, or network.
-
B.
popularRouteFrom
chosen
Indicates a frequently chosen or well-traveled route that starts from a given origin location.
-
C.
offersDayPlacesTo
Indicates that one entity provides or makes available daytime places or slots to another entity.
-
D.
offersAttraction
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
E.
popularRouteTo
Indicates that one location is widely used or frequently chosen as a route or way to reach another location.
- F. None of above.
Provenance (3 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 3:36 a.m.