Triple
T2710122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawker Sea Hawk |
E59838
|
entity |
| Predicate | airIntakeConfiguration |
P21444
|
FINISHED |
| Object | wing-root 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: wing-root intakes | Statement: [Hawker Sea Hawk, airIntakeConfiguration, wing-root intakes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airIntakeConfiguration Context triple: [Hawker Sea Hawk, airIntakeConfiguration, wing-root intakes]
-
A.
airIntakeType
chosen
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
B.
airIntakeLocation
Indicates the physical position or area where air is drawn into a system, device, or structure.
-
C.
hasAirConditioning
Indicates that an entity is equipped with or provides air conditioning.
-
D.
hasFlankVents
Indicates that an entity possesses vents located on its sides or flanks.
-
E.
aircraftConfiguration
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.