Triple
T11952346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stingray City sandbar |
E284455
|
entity |
| Predicate | wildlifeStatus |
P102444
|
FINISHED |
| Object | wild stingrays accustomed to human presence |
—
|
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: wild stingrays accustomed to human presence | Statement: [Stingray City sandbar, wildlifeStatus, wild stingrays accustomed to human presence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeStatus Context triple: [Stingray City sandbar, wildlifeStatus, wild stingrays accustomed to human presence]
-
A.
hasWildlifeStatus
Indicates the conservation or protection status assigned to wildlife associated with an entity.
-
B.
wildlifeProtectionStatus
Indicates the level or type of legal or conservation protection currently applied to wildlife.
-
C.
subjectSpeciesStatus
Indicates the conservation or biological status assigned to the subject species (e.g., endangered, native, invasive, protected).
-
D.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
E.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
- 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.