Triple
T5064407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messerschmitt |
E114107
|
entity |
| Predicate | Me163Role |
P9463
|
FINISHED |
| Object | rocket-powered interceptor |
—
|
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: rocket-powered interceptor | Statement: [Messerschmitt, Me163Role, rocket-powered interceptor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Me163Role Context triple: [Messerschmitt, Me163Role, rocket-powered interceptor]
-
A.
intendedCrewVehicle
Indicates that a particular vehicle is designated or planned to be used by a specific crew.
-
B.
roleInMissions
Indicates the specific function, duty, or position an entity holds within one or more missions.
-
C.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
D.
JapaneseAirCommander
Indicates that one entity serves as a Japanese air force commander in relation to another entity or context.
-
E.
testAircraftRole
Indicates that an aircraft is assigned or evaluated for a specific operational role or function.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.