Triple
T32512749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister Donut |
E830979
|
entity |
| Predicate | currentMainRegionOfOperation |
P6665
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [Mister Donut, currentMainRegionOfOperation, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentMainRegionOfOperation Context triple: [Mister Donut, currentMainRegionOfOperation, Asia]
-
A.
mainHostRegion
Indicates the primary geographic or network region in which a host or hosting environment is located or operates.
-
B.
operatedInRegion
chosen
Indicates that an entity conducted operations or activities within a specified geographic region.
-
C.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
D.
currentLocationRegion
Indicates the region in which an entity is presently located.
-
E.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 1, 2026, 1 a.m.