Triple
T22977350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 12 |
E571361
|
entity |
| Predicate | mediaAdaptationPortrayalLocation |
P113256
|
FINISHED |
| Object | filming primarily in North Carolina for the first film |
—
|
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: filming primarily in North Carolina for the first film | Statement: [District 12, mediaAdaptationPortrayalLocation, filming primarily in North Carolina for the first film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAdaptationPortrayalLocation Context triple: [District 12, mediaAdaptationPortrayalLocation, filming primarily in North Carolina for the first film]
-
A.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
-
B.
locationOfBroadcast
Indicates the place or geographic area from which a broadcast is transmitted or originates.
-
C.
mediaLocation
Indicates the physical or digital place where a media item is stored, accessed, or made available.
-
D.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
E.
portrayedByRealWorldLocation
chosen
Indicates that a fictional or represented location is depicted or substituted by an actual real-world location.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.