Triple
T34409922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short S.25 Sandringham |
E883227
|
entity |
| Predicate | basedOnMilitaryAircraft |
P89695
|
FINISHED |
| Object | Short Sunderland patrol bomber |
—
|
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 Sunderland patrol bomber | Statement: [Short S.25 Sandringham, basedOnMilitaryAircraft, Short Sunderland patrol bomber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnMilitaryAircraft Context triple: [Short S.25 Sandringham, basedOnMilitaryAircraft, Short Sunderland patrol bomber]
-
A.
basedOnAircraft
chosen
Indicates that one entity is derived from, modeled after, or otherwise uses a particular aircraft as its basis or primary reference.
-
B.
hasBasedAircraft
Indicates that an aircraft is regularly stationed or primarily based at a particular location or facility.
-
C.
isMilitaryAircraft
Indicates that the subject aircraft is designed, used, or designated for military purposes rather than civilian use.
-
D.
aircraftBase
Indicates that a particular location serves as the primary base or home station for an aircraft or group of aircraft.
-
E.
appliedToAircraftDesignedBy
Indicates that something (such as a component, system, or regulation) is applied to an aircraft that was designed by a specified designer or organization.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: May 1, 2026, 1:59 a.m.