Triple
T28543751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de los Pocillos |
E722370
|
entity |
| Predicate | hasNearbyResorts |
P42027
|
FINISHED |
| Object | Puerto del Carmen resort area |
—
|
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: Puerto del Carmen resort area | Statement: [Playa de los Pocillos, hasNearbyResorts, Puerto del Carmen resort area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyResorts Context triple: [Playa de los Pocillos, hasNearbyResorts, Puerto del Carmen resort area]
-
A.
nearbyResortSection
Indicates that one resort section is located close to another resort section in physical proximity.
-
B.
nearbyResortArea
chosen
Indicates that a resort area is located close to or within a short distance of a specified place or entity.
-
C.
hasNearbyLodge
Indicates that one entity is located close to or in the vicinity of a lodge associated with another entity.
-
D.
hasNearbyHotel
Indicates that one entity is located close to or within a short distance of a hotel.
-
E.
hasSkiResortNearby
Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 28, 2026, 3:37 a.m.