Triple
T11493243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeside Shopping Centre |
E272467
|
entity |
| Predicate | hasCinemaBrand |
P67912
|
FINISHED |
| Object | Vue Cinemas |
E788686
|
NE 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: Vue Cinemas | Statement: [Lakeside Shopping Centre, hasCinemaBrand, Vue Cinemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vue Cinemas Context triple: [Lakeside Shopping Centre, hasCinemaBrand, Vue Cinemas]
-
A.
Vue Cinema
chosen
Vue Cinema is a major UK-based multiplex cinema chain known for showing the latest mainstream films with modern digital and 3D screening technology.
-
B.
Reel Cinemas
Reel Cinemas is a popular cinema chain in Dubai known for its modern multiplex theaters and premium movie-going experiences.
-
C.
Cineworld cinema
Cineworld cinema is a major UK multiplex cinema chain offering mainstream film screenings and entertainment facilities.
-
D.
Vision Theatre
Vision Theatre is a historic performing arts venue in Los Angeles’ Leimert Park neighborhood, known for showcasing African American arts and community cultural events.
-
E.
Multikino
Multikino is a major Polish multiplex cinema chain operating modern movie theaters across numerous cities in Poland and parts of Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85ddffdf88190a00e94ad5b8b91a5 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6047d95548190b445aa3b4f1e71cc |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.