Triple
T909611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northrop X-4 Bantam |
E19627
|
entity |
| Predicate | airIntakeType |
P21444
|
FINISHED |
| Object | fuselage side intakes |
—
|
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: fuselage side intakes | Statement: [Northrop X-4 Bantam, airIntakeType, fuselage side intakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airIntakeType Context triple: [Northrop X-4 Bantam, airIntakeType, fuselage side intakes]
-
A.
furnaceType
Indicates the specific kind or category of furnace associated with an entity.
-
B.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
C.
fanType
Indicates the specific category or kind of fan associated with an entity, such as its design, purpose, or operating principle.
-
D.
airGroupType
Indicates the classification or category of an air group based on its role, composition, or operational function.
-
E.
hasCentralTank
Indicates that an entity possesses or is equipped with a primary central tank as a key component or feature.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:39 p.m.