Triple
T12982318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundala National Park |
E321679
|
entity |
| Predicate | mainHumanActivity |
P8834
|
FINISHED |
| Object | wildlife tourism |
—
|
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: wildlife tourism | Statement: [Bundala National Park, mainHumanActivity, wildlife tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainHumanActivity Context triple: [Bundala National Park, mainHumanActivity, wildlife tourism]
-
A.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
humanActivityLevel
Indicates the degree or intensity of activity or movement performed by a human over a given period or in a given context.
-
C.
mannerOfActivity
Indicates the way or style in which an activity is performed or carried out.
-
D.
activityStartApprox
Indicates that the start time of an activity is known only approximately, rather than as an exact timestamp.
-
E.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:39 p.m.