Triple
T10693047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengdu J-20 |
E252058
|
entity |
| Predicate | weaponsBay |
P95319
|
FINISHED |
| Object | main internal weapons bay |
—
|
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: main internal weapons bay | Statement: [Chengdu J-20, weaponsBay, main internal weapons bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponsBay Context triple: [Chengdu J-20, weaponsBay, main internal weapons bay]
-
A.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
B.
lightArmament
Indicates that an entity is equipped with or characterized by relatively minimal or lightweight weaponry compared to standard or heavy armament.
-
C.
weaponCategory
Indicates the classification or type of weapon to which an item or armament belongs.
-
D.
armamentCategory
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
-
E.
armedVariants
Indicates that one entity is a version or model of another that is equipped with weapons or enhanced armaments.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:11 p.m.