Triple
T26364651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ondel-ondel |
E660299
|
entity |
| Predicate | ethnicCultureOf |
P56388
|
FINISHED |
| Object | Betawi people |
—
|
NE NERFINISHED |
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: Betawi people | Statement: [Ondel-ondel, ethnicCultureOf, Betawi people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCultureOf Context triple: [Ondel-ondel, ethnicCultureOf, Betawi people]
-
A.
ethnicCultureDocumented
Indicates that information about an ethnic culture has been recorded, described, or otherwise documented.
-
B.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
C.
countryOfCult
Indicates that a particular cult, religious group, or worship practice is associated with, originates from, or is primarily practiced in a specific country.
-
D.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
-
E.
cultureOfOrigin
chosen
Indicates the cultural background or tradition from which an entity originates or is derived.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 26, 2026, 10:54 p.m.