Triple
T27102141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnett College |
E686468
|
entity |
| Predicate | usedAsFilmingLocationRealWorld |
P44217
|
FINISHED |
| Object | various real U.S. college campuses |
—
|
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: various real U.S. college campuses | Statement: [Barnett College, usedAsFilmingLocationRealWorld, various real U.S. college campuses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsFilmingLocationRealWorld Context triple: [Barnett College, usedAsFilmingLocationRealWorld, various real U.S. college campuses]
-
A.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
B.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
C.
usedAsFictionalLocation
Indicates that one entity serves as the setting or place within a fictional work in which the other entity appears.
-
D.
portrayedByRealWorldLocation
Indicates that a fictional or represented location is depicted or substituted by an actual real-world location.
-
E.
filmingLocationContext
chosen
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 8:48 a.m.