Triple
T24310677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bargara Beach |
E612663
|
entity |
| Predicate | turtleSpeciesObserved |
P53205
|
FINISHED |
| Object | loggerhead turtle |
—
|
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: loggerhead turtle | Statement: [Bargara Beach, turtleSpeciesObserved, loggerhead turtle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turtleSpeciesObserved Context triple: [Bargara Beach, turtleSpeciesObserved, loggerhead turtle]
-
A.
typicalWildlifeObserved
Indicates that certain wildlife species are commonly or characteristically observed in a given area or context.
-
B.
seaTurtleSpeciesObserved
chosen
Indicates that one or more individuals of a particular sea turtle species have been observed at a given place and/or time.
-
C.
hasBirdSpecies
Indicates that there exists a relationship in which a subject possesses, contains, or is associated with a particular bird species.
-
D.
hasReptileSpecies
Indicates that one entity possesses, contains, or is associated with a reptile species as part of its characteristics or composition.
-
E.
batSpecies
Indicates that the subject is a species within the biological group of bats.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922a6afc8190b02cc2d185d15a45 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:33 a.m.