Triple
T27776605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platinum Europe Award |
E699205
|
entity |
| Predicate | regionOfMeasurement |
P163065
|
FINISHED |
| Object | European market |
—
|
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: European market | Statement: [Platinum Europe Award, regionOfMeasurement, European market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfMeasurement Context triple: [Platinum Europe Award, regionOfMeasurement, European market]
-
A.
measuresRegion
Indicates that one entity quantifies or assesses a specific geographic or spatial region.
-
B.
regionAnalyzed
Indicates that a specific geographic or spatial region has been examined or evaluated, typically to extract information, detect patterns, or assess certain properties.
-
C.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
D.
measurementSetting
Indicates the specific conditions, parameters, or configuration under which a measurement is taken or recorded.
-
E.
measurementArea
chosen
Indicates that a specified area is the spatial extent over which a measurement is taken or considered valid.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 27, 2026, 5:06 p.m.