Triple
T25782893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony Center at Potsdamer Platz |
E649335
|
entity |
| Predicate | hasIMAX |
P59602
|
FINISHED |
| Object | IMAX cinema |
—
|
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: IMAX cinema | Statement: [Sony Center at Potsdamer Platz, hasIMAX, IMAX cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIMAX Context triple: [Sony Center at Potsdamer Platz, hasIMAX, IMAX cinema]
-
A.
hasIMAXScreen
chosen
Indicates that a venue, theater, or location is equipped with at least one IMAX-format screen.
-
B.
hasMovieTheater
Indicates that one entity possesses, contains, or includes a movie theater as part of its facilities or attributes.
-
C.
imaxTheaterName
Indicates the specific name assigned to an IMAX theater in the relationship.
-
D.
hasNumberOfTheatres
Indicates the quantity of theatres associated with or present in a given entity.
-
E.
hasCinematicFeature
Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 22, 2026, 5:52 a.m.