Triple
T310027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Society Newton International Fellowships |
E6384
|
entity |
| Predicate | mobilityComponent |
P11375
|
FINISHED |
| Object | supports mobility to the UK |
—
|
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: supports mobility to the UK | Statement: [Royal Society Newton International Fellowships, mobilityComponent, supports mobility to the UK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobilityComponent Context triple: [Royal Society Newton International Fellowships, mobilityComponent, supports mobility to the UK]
-
A.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
-
B.
transportCharacteristic
Indicates a relationship where a specific characteristic, property, or feature is attributed to a mode or instance of transport.
-
C.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
D.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
E.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
- F. None of above. chosen
Provenance (4 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.