Triple
T18731850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Solidarity Corps |
E458052
|
entity |
| Predicate | supportsActivityDuration |
P24237
|
FINISHED |
| Object | short-term volunteering |
—
|
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: short-term volunteering | Statement: [European Solidarity Corps, supportsActivityDuration, short-term volunteering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsActivityDuration Context triple: [European Solidarity Corps, supportsActivityDuration, short-term volunteering]
-
A.
supportsActivity
Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
-
B.
supportsTestDuration
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified duration for a test or testing process.
-
C.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
D.
possibleDuration
chosen
Indicates the range or specific length of time that an action, event, or state can last or is allowed to last.
-
E.
supportsTimeDistribution
Indicates that one entity provides or enables the allocation, scheduling, or distribution of time-related resources or events for another entity.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.