Triple
T941548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northrop X-21 |
E20316
|
entity |
| Predicate | airIntakeLocation |
P22001
|
FINISHED |
| Object | underwing engine nacelles |
—
|
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: underwing engine nacelles | Statement: [Northrop X-21, airIntakeLocation, underwing engine nacelles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airIntakeLocation Context triple: [Northrop X-21, airIntakeLocation, underwing engine nacelles]
-
A.
batteryPlacement
Indicates the spatial or positional relationship specifying where a battery is located or installed relative to another object or system.
-
B.
powertrainLocation
Indicates the physical placement or mounting position of a vehicle’s powertrain relative to the rest of the vehicle.
-
C.
doorLocation
Indicates the spatial position or placement of a door relative to a reference structure or area.
-
D.
locationOnAircraft
Indicates that one entity is physically situated on or within an aircraft.
-
E.
seatLocation
Indicates the spatial position or placement of a seat relative to a reference point or environment.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38cc6888190b1d9043ec8fbcbc3 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29c68f48190aecad10e351a99de |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.