Triple
T34000748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglo-American Film Corporation |
E871808
|
entity |
| Predicate | regionOfSourcing |
P410
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Anglo-American Film Corporation, regionOfSourcing, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfSourcing Context triple: [Anglo-American Film Corporation, regionOfSourcing, United Kingdom]
-
A.
sourceRegion
chosen
Indicates the geographic or spatial region from which something originates or is derived.
-
B.
supplyRegion
Indicates that one entity serves as the source or provider of supplies, goods, or services to a specified geographic region.
-
C.
cargoOrigin
Indicates that a specified location is the starting point from which the cargo was initially shipped or dispatched.
-
D.
administrativeRegionOfOrigin
Indicates the administrative region (such as a state, province, or similar division) from which an entity originates or is associated by origin.
-
E.
regionOfManufacture
Indicates the geographic region where an item was produced or manufactured.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 1, 2026, 1:50 a.m.