Triple
T26939936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 466 Squadron RAAF |
E678483
|
entity |
| Predicate | aircrewNationality |
P14610
|
FINISHED |
| Object | Australian |
—
|
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: Australian | Statement: [No. 466 Squadron RAAF, aircrewNationality, Australian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircrewNationality Context triple: [No. 466 Squadron RAAF, aircrewNationality, Australian]
-
A.
pilotNationality
Indicates that a pilot has a specific national affiliation or citizenship.
-
B.
fighter1Nationality
Indicates the national origin or citizenship of the first fighter in a matchup or comparison.
-
C.
nationalityOfPersonnel
chosen
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
-
D.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
E.
officiallyFlownOn
Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:17 a.m.