Triple
T24462885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 133 Squadron RAF |
E616879
|
entity |
| Predicate | hasVolunteerNationality |
P99870
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [No. 133 Squadron RAF, hasVolunteerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolunteerNationality Context triple: [No. 133 Squadron RAF, hasVolunteerNationality, American]
-
A.
hasParticipantNationality
chosen
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
B.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
C.
appliedToNationality
Indicates that an action, policy, or status is directed toward or enforced upon individuals of a specific nationality.
-
D.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
E.
hasParticipantNationalityRange
Indicates that the participants in an event or relation come from a specified range or set of nationalities.
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298cb4cb4819095d26cdd98a7a570 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.