Triple
T25887484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipa Noi Beach |
E652229
|
entity |
| Predicate | attractsTypeOfTourist |
P158435
|
FINISHED |
| Object | families |
—
|
LITERAL FINISHED |
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: families | Statement: [Lipa Noi Beach, attractsTypeOfTourist, families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsTypeOfTourist Context triple: [Lipa Noi Beach, attractsTypeOfTourist, families]
-
A.
attractsTypeOfVisitor
chosen
Indicates that an entity draws or appeals to a particular kind or category of visitor.
-
B.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
C.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
D.
subjectOfTour
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
E.
tourismCharacteristic
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603446aa88190852cc9bb25f30655 |
completed | May 2, 2026, 1:59 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:18 a.m.