Triple
T24329744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 71 Squadron RAF |
E613205
|
entity |
| Predicate | hasVolunteerPersonnelFrom |
P155740
|
FINISHED |
| Object | United States |
—
|
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 States | Statement: [No. 71 Squadron RAF, hasVolunteerPersonnelFrom, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolunteerPersonnelFrom Context triple: [No. 71 Squadron RAF, hasVolunteerPersonnelFrom, United States]
-
A.
hasVolunteerCount
Indicates the number of volunteers associated with a particular entity or activity.
-
B.
hasVolunteerRescueSquad
Indicates that an entity is served or supported by a volunteer-based rescue or emergency response squad.
-
C.
volunteeredFor
Indicates that an entity willingly offered their time or services to support or participate in an activity, cause, or organization.
-
D.
usesVolunteers
Indicates that an entity relies on or engages volunteers to perform its activities or services.
-
E.
hasVolunteerOrganisation
Indicates that an entity is associated with or supported by a volunteer-based organisation.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f0539081908f2d1769ad122572 |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:55 a.m.