Triple
T25980817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bougainvillean communities in Australia |
E646063
|
entity |
| Predicate | concentratedInState |
P2790
|
FINISHED |
| Object | New South Wales |
—
|
NE NERFINISHED |
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: New South Wales | Statement: [Bougainvillean communities in Australia, concentratedInState, New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concentratedInState Context triple: [Bougainvillean communities in Australia, concentratedInState, New South Wales]
-
A.
concentratedInProvince
Indicates that something is primarily located, focused, or densely present within a particular province.
-
B.
concentratedInCountry
Indicates that the majority or primary presence of something (such as activity, resources, or focus) is located within a specific country.
-
C.
notableStateConcentration
chosen
Indicates that a significant portion of the instances or activity of something is concentrated within a particular state or region.
-
D.
inState
Indicates that an entity is currently located within or belongs to a particular state or condition.
-
E.
concentratedInCity
Indicates that a large proportion or primary presence of something is located within a particular city.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 8:54 a.m.