Triple
T33859138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whakaari |
E867872
|
entity |
| Predicate | tourismStatusAfter2019 |
P177854
|
FINISHED |
| Object | tourism suspended or heavily restricted |
—
|
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: tourism suspended or heavily restricted | Statement: [Whakaari, tourismStatusAfter2019, tourism suspended or heavily restricted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismStatusAfter2019 Context triple: [Whakaari, tourismStatusAfter2019, tourism suspended or heavily restricted]
-
A.
tourismStatusBefore2019
Indicates the tourism-related condition or classification that applied to an entity prior to the year 2019.
-
B.
hasTourismDevelopment
Indicates that tourism-related infrastructure, services, or activities have been developed or promoted in relation to the referenced entity.
-
C.
beganDiversificationIntoTourism
Indicates that an entity started expanding its activities or operations into the tourism sector from a certain point in time.
-
D.
hasGrowingTourismSector
Indicates that a place is experiencing an increase in tourism activity and development over time.
-
E.
hadTourismEconomyFor
Indicates that an entity has sustained a tourism-based economy for a specified period or duration.
- F. None of above. chosen
Provenance (4 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:47 a.m.