Triple
T2133653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquito Bay |
E46599
|
entity |
| Predicate | bestTimeToVisit |
P31097
|
FINISHED |
| Object | dark, moonless nights |
—
|
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: dark, moonless nights | Statement: [Mosquito Bay, bestTimeToVisit, dark, moonless nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTimeToVisit Context triple: [Mosquito Bay, bestTimeToVisit, dark, moonless nights]
-
A.
countryDuringPeak
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
B.
bestVisitedAt
chosen
Indicates the optimal time or conditions under which a place or entity should be visited.
-
C.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
D.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
E.
touristArrivalsPerYearApprox
Indicates an approximate count of how many tourists arrive at a place over the course of a year.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba0c42c8190ab3ce4bbf1531ee1 |
completed | March 7, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.