Triple
T26364475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gambang Kromong |
E660295
|
entity |
| Predicate | typicalVocalLanguage |
P42338
|
FINISHED |
| Object | Betawi Malay |
—
|
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 Malay | Statement: [Gambang Kromong, typicalVocalLanguage, Betawi Malay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVocalLanguage Context triple: [Gambang Kromong, typicalVocalLanguage, Betawi Malay]
-
A.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
B.
vocalLanguageFamily
Indicates that one entity’s spoken language belongs to, or is classified under, the language family represented by the other entity.
-
C.
primaryVocalLanguage
Indicates the main spoken language typically used by an entity for vocal communication.
-
D.
typicalLanguages
chosen
Indicates the languages that are commonly or characteristically used, spoken, or associated with a given entity.
-
E.
isVocalStandard
Indicates that something conforms to the typical or expected characteristics of a vocal form, style, or usage.
- 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_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 26, 2026, 10:54 p.m.