Triple
T29615951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome Film Festival |
E754863
|
entity |
| Predicate | hasRedCarpetLocation |
P26595
|
FINISHED |
| Object | Auditorium Parco della Musica |
—
|
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: Auditorium Parco della Musica | Statement: [Rome Film Festival, hasRedCarpetLocation, Auditorium Parco della Musica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedCarpetLocation Context triple: [Rome Film Festival, hasRedCarpetLocation, Auditorium Parco della Musica]
-
A.
hasRedCarpetEvent
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
-
B.
hasHollywoodWalkOfFameStar
Indicates that the subject has been awarded and possesses a star on the Hollywood Walk of Fame.
-
C.
hasLocatedOnIt
Indicates that one entity is physically situated on the surface or top of another entity.
-
D.
hasFashionShowLocation
chosen
Indicates that a fashion show takes place at, or is held in, a specific location.
-
E.
hasPlaceOfHonor
Indicates that one entity is assigned or occupies a distinguished or specially honored position relative to another entity.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: April 28, 2026, 6:31 p.m.