Triple
T7673057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Geographic Abu Dhabi |
E173791
|
entity |
| Predicate | subtitles |
P47403
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [National Geographic Abu Dhabi, subtitles, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtitles Context triple: [National Geographic Abu Dhabi, subtitles, Arabic]
-
A.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
-
B.
languageOfSubtitles
chosen
Indicates the language in which the subtitles for a given media item are provided.
-
C.
subtitleDFunction
Indicates a functional relationship where one entity serves as the subtitle or secondary textual label for another entity.
-
D.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
E.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.