Triple
T26013298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River of Five Colors |
E646957
|
entity |
| Predicate | tourismRestrictionReason |
P53204
|
FINISHED |
| Object | environmental protection |
—
|
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: environmental protection | Statement: [River of Five Colors, tourismRestrictionReason, environmental protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismRestrictionReason Context triple: [River of Five Colors, tourismRestrictionReason, environmental protection]
-
A.
hasTourismRestriction
chosen
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
B.
tourismRegulation
Indicates that an authority establishes or enforces rules, policies, or controls governing tourism activities or the tourism sector.
-
C.
transportRestriction
Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
-
D.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
E.
travelAdvisory
Indicates that one authority issues guidance or warnings to others about safety, risks, or conditions related to traveling to a particular place.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b710ec8190a84765aee7ba31e1 |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 9:02 a.m.