Triple
T21633306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinesound Productions |
E533888
|
entity |
| Predicate | primaryExhibitionVenueType |
P61245
|
FINISHED |
| Object | cinemas |
—
|
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: cinemas | Statement: [Cinesound Productions, primaryExhibitionVenueType, cinemas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryExhibitionVenueType Context triple: [Cinesound Productions, primaryExhibitionVenueType, cinemas]
-
A.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
B.
hasExhibitionVenueType
chosen
Indicates the type or category of venue where an exhibition is held or presented.
-
C.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
D.
hasMainExhibitionType
Indicates that an entity is associated with a primary or predominant type of exhibition it presents or hosts.
-
E.
fieldOfExhibition
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:35 p.m.