Triple
T6518857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian cinema |
E148329
|
entity |
| Predicate | CinecittàOpeningYear |
P71367
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Italian cinema, CinecittàOpeningYear, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CinecittàOpeningYear Context triple: [Italian cinema, CinecittàOpeningYear, 1937]
-
A.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
B.
cinemaOf
Indicates a relationship where a cinema is associated with, belongs to, or is located within a particular place, organization, or context.
-
C.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
D.
isLargestUrbanCenterAtTipOfItalianPeninsula
Indicates that a city is the biggest urban center located at the southern tip of the Italian Peninsula.
-
E.
westEndPremiereYear
Indicates the year in which a work first premiered in London’s West End.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac11d0e481908103c4b51de9521e |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:44 p.m.