Triple
T14279481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locarno Film Festival |
E354004
|
entity |
| Predicate | screenCapacity |
P113571
|
FINISHED |
| Object | approximately 8000 spectators in Piazza Grande |
—
|
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: approximately 8000 spectators in Piazza Grande | Statement: [Locarno Film Festival, screenCapacity, approximately 8000 spectators in Piazza Grande]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenCapacity Context triple: [Locarno Film Festival, screenCapacity, approximately 8000 spectators in Piazza Grande]
-
A.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
B.
screensAt
Indicates that one entity shows, projects, or displays another entity (such as a film, program, or content) on a screen or at a screening venue.
-
C.
dataCapacityDigits
Indicates the number of decimal digits used to represent or specify a data capacity value.
-
D.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
E.
screenCurvature
Indicates that one entity has a specific degree or type of curvature in its screen surface relative to another entity or a defined standard.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6585270c8190a717127b2f5dab3b |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.