Triple
T25833488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko Taen |
E650726
|
entity |
| Predicate | hasBestSeasonForVisit |
P78489
|
FINISHED |
| Object | dry season |
—
|
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: dry season | Statement: [Ko Taen, hasBestSeasonForVisit, dry season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestSeasonForVisit Context triple: [Ko Taen, hasBestSeasonForVisit, dry season]
-
A.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
B.
hasEasiestSeason
Indicates that one season is considered the least difficult or most favorable compared to other seasons for a given activity, condition, or context.
-
C.
bestHikingMonths
Indicates the months of the year during which hiking conditions are considered most favorable for a given place or trail.
-
D.
popularTimeToVisit
chosen
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
E.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 22, 2026, 7:39 a.m.