Triple
T37986331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pemanggil Island |
E947696
|
entity |
| Predicate | hasBestTravelSeason |
P194157
|
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: [Pemanggil Island, hasBestTravelSeason, dry season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestTravelSeason Context triple: [Pemanggil Island, hasBestTravelSeason, dry season]
-
A.
hasEasiestSeason
Indicates that one season is considered the least difficult or most favorable compared to other seasons for a given activity, condition, or context.
-
B.
bestSeasonForTrekking
Indicates that a particular season is the most suitable or optimal time for trekking in a given place or context.
-
C.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
D.
hasBestSeasonForKiteboarding
Indicates the season or time of year during which conditions are most favorable for kiteboarding at a given location.
-
E.
hasBestSeasonForSurfing
Indicates that there is a particular season or time of year during which surfing conditions are considered optimal for a given 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:20 p.m.