Triple
T29982789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malay rulers |
E761639
|
entity |
| Predicate | culturalAuthority |
P179937
|
FINISHED |
| Object | protector of Malay customs (adat) |
—
|
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: protector of Malay customs (adat) | Statement: [Malay rulers, culturalAuthority, protector of Malay customs (adat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalAuthority Context triple: [Malay rulers, culturalAuthority, protector of Malay customs (adat)]
-
A.
culturalRegister
Indicates the level or type of formality, style, or social context in which language or behavior is used or appropriate.
-
B.
culturalFoundationFor
Indicates that one entity provides the cultural basis, background, or supporting context that underlies or enables another entity.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
E.
isPartOfCulturalDomain
Indicates that something belongs to, falls within, or is associated with a particular cultural sphere, tradition, or domain.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 29, 2026, 6:35 p.m.