Triple
T34284828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanghalang Huseng Batute |
E879703
|
entity |
| Predicate | languageOfPrimaryPerformances |
P202211
|
FINISHED |
| Object | Filipino |
—
|
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: Filipino | Statement: [Tanghalang Huseng Batute, languageOfPrimaryPerformances, Filipino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPrimaryPerformances Context triple: [Tanghalang Huseng Batute, languageOfPrimaryPerformances, Filipino]
-
A.
hasLanguageOfOriginalPerformances
Indicates the language in which the original performances (such as recordings, broadcasts, or shows) were carried out.
-
B.
languageOfPrimaryNarrations
Indicates the language in which the main or primary narrations are expressed or conveyed.
-
C.
primaryLanguageInSeries
Indicates that a given language is the main or predominant language used throughout a particular series.
-
D.
primaryFilmingLanguage
Indicates the main language in which a film or audiovisual work was originally filmed or recorded.
-
E.
primaryLanguageOfTitles
Indicates that a specified language is the main language used in the titles associated with a given entity.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
| PDg | Predicate description generation | batch_6a0062e60b648190b59ea90cb7918b9a |
completed | May 10, 2026, 10:50 a.m. |
Created at: May 1, 2026, 1:57 a.m.