Triple
T24905773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peron Peninsula |
E623702
|
entity |
| Predicate | marineSpeciesHabitat |
P12485
|
FINISHED |
| Object | sea turtles |
—
|
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: sea turtles | Statement: [Peron Peninsula, marineSpeciesHabitat, sea turtles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineSpeciesHabitat Context triple: [Peron Peninsula, marineSpeciesHabitat, sea turtles]
-
A.
harborsSpecies
Indicates that a location or environment contains, supports, or provides habitat for a particular species.
-
B.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
C.
hasMarineSpecies
chosen
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
D.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
E.
marineBiodiversityLevel
Indicates the degree or richness of species variety and ecological complexity present within a marine environment.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:27 a.m.