Triple
T36405786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Appeal of Malaysia |
E896744
|
entity |
| Predicate | canSitInLargerPanel |
P185445
|
FINISHED |
| Object | five judges |
—
|
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: five judges | Statement: [Court of Appeal of Malaysia, canSitInLargerPanel, five judges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSitInLargerPanel Context triple: [Court of Appeal of Malaysia, canSitInLargerPanel, five judges]
-
A.
canAlsoSitIn
Indicates that an entity, in addition to its primary or usual location, is also able or allowed to sit in another specified place or seat.
-
B.
maySitAs
Indicates that one entity is permitted or authorized to serve or participate in an official capacity within another entity (such as a body, panel, or role).
-
C.
isAtLargeSeat
Indicates that an individual holds or occupies an at-large seat, representing a broad constituency rather than a specific district or sub-area.
-
D.
canBeChairOf
Indicates that an entity has the eligibility or capacity to serve as the chair (leader) of a specified group, committee, or organization.
-
E.
canSitIn
Indicates that one entity is able or permitted to sit inside or occupy the seating space of 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.