Triple
T26767667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulau Kolong |
E674985
|
entity |
| Predicate | tourismActivityLevel |
P70107
|
FINISHED |
| Object | low to moderate |
—
|
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: low to moderate | Statement: [Pulau Kolong, tourismActivityLevel, low to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismActivityLevel Context triple: [Pulau Kolong, tourismActivityLevel, low to moderate]
-
A.
tourismDevelopmentLevel
chosen
Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
-
B.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
C.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
D.
tourScale
Indicates the relative size, scope, or extent of a tour in comparison to other tours or a standard reference.
-
E.
touristAccess
Indicates that a place or resource is available for use or visitation by 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 4 a.m.