Triple
T33857881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room 309 |
E867835
|
entity |
| Predicate | hasFilmingUse |
P126403
|
FINISHED |
| Object | stand-in for generic university lecture hall |
—
|
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: stand-in for generic university lecture hall | Statement: [Room 309, hasFilmingUse, stand-in for generic university lecture hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmingUse Context triple: [Room 309, hasFilmingUse, stand-in for generic university lecture hall]
-
A.
hasFilmingUseSince
Indicates that a location or object has been used for filming purposes starting from a specified point in time and continuing thereafter.
-
B.
hasFilmingAssociation
Indicates a relationship where an entity is connected to another through involvement in the same filming activity, production, or filming-related context.
-
C.
hasFilmingInfrastructure
Indicates that a location or entity possesses the necessary facilities, equipment, and support systems required for film production to take place there.
-
D.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
E.
hasTypeOfUseInFilm
chosen
Indicates that something is associated with a specific manner or category of use within the context of a film.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:47 a.m.