Triple
T16381697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okaukuejo |
E397820
|
entity |
| Predicate | wildlifeViewingStyle |
P104210
|
FINISHED |
| Object | from fixed seating around waterhole |
—
|
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: from fixed seating around waterhole | Statement: [Okaukuejo, wildlifeViewingStyle, from fixed seating around waterhole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeViewingStyle Context triple: [Okaukuejo, wildlifeViewingStyle, from fixed seating around waterhole]
-
A.
hasWildlifeObservationPoints
chosen
Indicates that a location or area includes designated points or spots where wildlife can be observed.
-
B.
typicalWildlifeObserved
Indicates that certain wildlife species are commonly or characteristically observed in a given area or context.
-
C.
huntingStyle
Indicates the characteristic manner or method an entity typically uses when hunting.
-
D.
birdwatchingFeature
Indicates a feature, characteristic, or amenity that is specifically related to or beneficial for birdwatching activities.
-
E.
hasWildlifeViewingSeason
Indicates that there is a specific time period during which wildlife can be observed or viewed in relation to the subject.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.