Triple
T11952406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stingray City |
E284456
|
entity |
| Predicate | wildlifeInteractionType |
P102445
|
FINISHED |
| Object | in-water encounter |
—
|
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: in-water encounter | Statement: [Stingray City, wildlifeInteractionType, in-water encounter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeInteractionType Context triple: [Stingray City, wildlifeInteractionType, in-water encounter]
-
A.
hasWildlifeActivity
Indicates that wildlife is present in the area and engaging in observable behaviors or movements.
-
B.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
C.
hasWildlifeIssue
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
-
D.
associatedWithWildlifeArea
Indicates that an entity has a connection, involvement, or linkage with a designated wildlife area.
-
E.
hasWildlifeAccess
Indicates that an entity has the ability, permission, or physical means to reach or interact with wildlife or wildlife habitats.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.