Triple
T22971236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beagle |
E571190
|
entity |
| Predicate | subjectAircraftTypicalBombLoadClass |
P150449
|
FINISHED |
| Object | up to 3,000 kg |
—
|
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: up to 3,000 kg | Statement: [Beagle, subjectAircraftTypicalBombLoadClass, up to 3,000 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftTypicalBombLoadClass Context triple: [Beagle, subjectAircraftTypicalBombLoadClass, up to 3,000 kg]
-
A.
mainBomberAircraft
Indicates that an entity serves as the primary bomber aircraft used by another entity (such as a military force, operation, or country).
-
B.
aircraftTypesCarried
Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
-
C.
typeOfBombardment
Indicates the specific manner or method by which a bombardment is carried out in a given event or context.
-
D.
typicalAircraftStrength
Indicates the usual or characteristic level of military strength or capability associated with an aircraft.
-
E.
bombTonnageDropped
Indicates the total weight of bombs that were released or deployed in a given event or context.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823370fc819084a13d6e4eb6e44e |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.