Triple
T32110676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Te Tii Bay |
E820108
|
entity |
| Predicate | regionTourismContext |
P198042
|
FINISHED |
| Object | popular spot in Bay of Islands |
—
|
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: popular spot in Bay of Islands | Statement: [Te Tii Bay, regionTourismContext, popular spot in Bay of Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTourismContext Context triple: [Te Tii Bay, regionTourismContext, popular spot in Bay of Islands]
-
A.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
C.
countryTourismCategory
Indicates the tourism classification or category assigned to a country based on its tourism characteristics or status.
-
D.
tourismCorridor
Indicates a designated route or area that links multiple destinations to facilitate and promote tourism-related movement and activities between them.
-
E.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
| PDg | Predicate description generation | batch_69fec4cee6a081908139ea6aa608f729 |
completed | May 9, 2026, 5:23 a.m. |
Created at: May 1, 2026, 12:27 a.m.