Triple
T3661941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pebbly Beach |
E77668
|
entity |
| Predicate | wildlifeNote |
P34896
|
FINISHED |
| Object | kangaroos often seen on the grass near the beach |
—
|
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: kangaroos often seen on the grass near the beach | Statement: [Pebbly Beach, wildlifeNote, kangaroos often seen on the grass near the beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeNote Context triple: [Pebbly Beach, wildlifeNote, kangaroos often seen on the grass near the beach]
-
A.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
B.
supportsWildlife
Indicates that one entity provides conditions, resources, or protection that help sustain or benefit wildlife associated with another entity.
-
C.
hasNearbyWildlife
chosen
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
D.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
E.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d826d88190b0b50e8592088a36 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.