Triple
T23719806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF-104G |
E586108
|
entity |
| Predicate | noseEquipment |
P153690
|
FINISHED |
| Object | reduced radar capability compared to single-seat fighter versions |
—
|
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: reduced radar capability compared to single-seat fighter versions | Statement: [TF-104G, noseEquipment, reduced radar capability compared to single-seat fighter versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noseEquipment Context triple: [TF-104G, noseEquipment, reduced radar capability compared to single-seat fighter versions]
-
A.
noseGearFeature
Indicates that there is a specific characteristic, component, or design attribute associated with the nose landing gear of an aircraft.
-
B.
noseGearOrigin
Indicates the point or location from which the nose landing gear of an aircraft extends or is mounted.
-
C.
protectiveEquipment
Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
-
D.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
E.
noseType
Indicates the specific shape or classification of a nose that an entity possesses.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b77e2dc081908aef7a4c9b188dbd |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7 p.m.