Triple
T33279279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice of the High Court of Australia |
E851992
|
entity |
| Predicate | canSitAsFullCourt |
P176809
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Justice of the High Court of Australia, canSitAsFullCourt, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSitAsFullCourt Context triple: [Justice of the High Court of Australia, canSitAsFullCourt, true]
-
A.
canSitAt
Indicates that one entity is permitted or able to occupy a seating position at another entity (such as a place, object, or location).
-
B.
usesStandardBasketballCourt
Indicates that the subject conducts its basketball-related activities on a regulation-size, standard-layout basketball court.
-
C.
canSitIn
Indicates that one entity is able or permitted to sit inside or occupy the seating space of another entity.
-
D.
canSitWithout
Indicates that one entity is able to sit without the presence, support, or assistance of another entity.
-
E.
maySit
Indicates that one entity is permitted or allowed to sit on or in another entity.
- F. None of above. chosen
Provenance (4 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:32 a.m.