Triple
T9722264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setúbal |
E235503
|
entity |
| Predicate | hasNotableWildlife |
P34896
|
FINISHED |
| Object | bottlenose dolphins in Sado Estuary |
—
|
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: bottlenose dolphins in Sado Estuary | Statement: [Setúbal, hasNotableWildlife, bottlenose dolphins in Sado Estuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWildlife Context triple: [Setúbal, hasNotableWildlife, bottlenose dolphins in Sado Estuary]
-
A.
hasWildlifeSite
Indicates that a location or entity possesses, contains, or is designated as a wildlife site.
-
B.
hasWildlifeAccess
Indicates that an entity has the ability, permission, or physical means to reach or interact with wildlife or wildlife habitats.
-
C.
hasNearbyWildlife
chosen
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
D.
hasWildlifeStatus
Indicates the conservation or protection status assigned to wildlife associated with an entity.
-
E.
hasNearbyWildlifeRefuge
Indicates that something is located close to or in the vicinity of a designated wildlife refuge.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e75abd48190a6e6679ec51496e8 |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.