Triple
T17662793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOX Cinemas Mall of the Emirates |
E440293
|
entity |
| Predicate | languageOfScreenings |
P128455
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [VOX Cinemas Mall of the Emirates, languageOfScreenings, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfScreenings Context triple: [VOX Cinemas Mall of the Emirates, languageOfScreenings, English]
-
A.
languageSpokenOnScreen
Indicates that a particular language is used in spoken dialogue or audible communication within an on-screen work (such as a film, show, or video).
-
B.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
C.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
D.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
E.
primaryFilmingLanguage
Indicates the main language in which a film or audiovisual work was originally filmed or recorded.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 9:51 a.m.