Triple
T37097888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hastings Point headland |
E918615
|
entity |
| Predicate | hasNearbyCaravanPark |
P195581
|
FINISHED |
| Object | North Star Holiday Resort |
—
|
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: North Star Holiday Resort | Statement: [Hastings Point headland, hasNearbyCaravanPark, North Star Holiday Resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCaravanPark Context triple: [Hastings Point headland, hasNearbyCaravanPark, North Star Holiday Resort]
-
A.
hasNearbyHolidayPark
chosen
Indicates that one place or location is situated close to a holiday park.
-
B.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
C.
hasNearbyParkFeature
Indicates that one place or object is located close to a park-related feature, such as a park, playground, or green space.
-
D.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
-
E.
hasNearbyIslandPark
Indicates that an island park is located close to the referenced place or entity.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00818b20a881909fbf3bb33dcf7029 |
completed | May 10, 2026, 1 p.m. |
| PD | Predicate disambiguation | batch_6a0080f76f588190a933238861243d1a |
completed | May 10, 2026, 12:58 p.m. |
Created at: May 3, 2026, 4:14 p.m.