Triple
T37062969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang di-Pertua Negeri |
E917369
|
entity |
| Predicate | isCollectiveTermFor |
P127829
|
FINISHED |
| Object | Governor of Penang |
—
|
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: Governor of Penang | Statement: [Yang di-Pertua Negeri, isCollectiveTermFor, Governor of Penang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCollectiveTermFor Context triple: [Yang di-Pertua Negeri, isCollectiveTermFor, Governor of Penang]
-
A.
collectiveTermUsed
chosen
Indicates that one entity is used as a collective term referring to a group or class of other entities.
-
B.
isCollectiveIdentityOf
Indicates that one entity functions as the shared or group-level identity that represents or encompasses another entity or set of entities.
-
C.
hasCollectiveTermForHolders
Indicates that there exists a specific collective term used to refer to multiple holders of a given type or role.
-
D.
collectivelyKnownAs
Indicates that multiple entities are referred to together under a single shared name or designation.
-
E.
collectiveNameForm
Indicates that one entity serves as the collective or group name form used to refer to multiple members of another entity or class.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.