Triple
T21966891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamus Dewan |
E542480
|
entity |
| Predicate | isPrimaryReferenceFor |
P16051
|
FINISHED |
| Object | standard Malay vocabulary |
—
|
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: standard Malay vocabulary | Statement: [Kamus Dewan, isPrimaryReferenceFor, standard Malay vocabulary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryReferenceFor Context triple: [Kamus Dewan, isPrimaryReferenceFor, standard Malay vocabulary]
-
A.
primaryReference
chosen
Indicates that one entity serves as the main or authoritative source of information or citation for another entity.
-
B.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
-
C.
isReferencedIn
Indicates that one entity is cited, mentioned, or otherwise referred to within another entity.
-
D.
refersToPrimaryUser
Indicates that something is referencing or pointing specifically to the main or primary user in the context.
-
E.
includesPrimaryRelation
Indicates that one entity contains or designates another entity as its main or primary relational counterpart.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.