Triple
T35738865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabalega Falls |
E1032974
|
entity |
| Predicate | nearbyBirdlife |
P198150
|
FINISHED |
| Object | shoebill stork |
—
|
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: shoebill stork | Statement: [Kabalega Falls, nearbyBirdlife, shoebill stork]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyBirdlife Context triple: [Kabalega Falls, nearbyBirdlife, shoebill stork]
-
A.
birdwatchingFeature
Indicates a feature, characteristic, or amenity that is specifically related to or beneficial for birdwatching activities.
-
B.
birdwatchingDestination
Indicates that a location serves as a place where people go specifically to observe birds.
-
C.
birdDiversity
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
-
D.
hasNearbyBirdStation
Indicates that one entity is located close to a bird observation or monitoring station associated with another entity.
-
E.
birdHabitatType
Indicates the type of natural environment or habitat in which a bird typically lives or is commonly found.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: May 3, 2026, 4:05 p.m.