Triple
T38247313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumana National Park |
E1013924
|
entity |
| Predicate | bestTimeForBirdwatching |
P79541
|
FINISHED |
| Object | April to July |
—
|
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: April to July | Statement: [Kumana National Park, bestTimeForBirdwatching, April to July]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTimeForBirdwatching Context triple: [Kumana National Park, bestTimeForBirdwatching, April to July]
-
A.
bestTimeToVisitForWildlife
chosen
Indicates the most favorable time period to visit a place specifically for observing wildlife activity or diversity.
-
B.
birdwatchingFeature
Indicates a feature, characteristic, or amenity that is specifically related to or beneficial for birdwatching activities.
-
C.
birdwatchingDestination
Indicates that a location serves as a place where people go specifically to observe birds.
-
D.
bestTimeForPhotography
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
E.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.