Triple
T37062941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yang di-Pertua Negeri |
E917369
|
entity |
| Predicate | isNotPresentIn |
P165579
|
FINISHED |
| Object | Malaysian states with hereditary rulers |
—
|
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: Malaysian states with hereditary rulers | Statement: [Yang di-Pertua Negeri, isNotPresentIn, Malaysian states with hereditary rulers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotPresentIn Context triple: [Yang di-Pertua Negeri, isNotPresentIn, Malaysian states with hereditary rulers]
-
A.
isAbsentFor
chosen
Indicates that an entity is not present or unavailable for a specified event, period, or context.
-
B.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
C.
possiblePresenceIn
Indicates that an entity may be located in, occur in, or exist within a specified place, context, or container, without asserting that it is definitively present there.
-
D.
requiresPresenceIn
Indicates that one entity’s existence, validity, or operation depends on another entity being physically or contextually present.
-
E.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
- 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.