Triple
T14033242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIDC F-CK-1 Ching-Kuo |
E337643
|
entity |
| Predicate | airToSurfaceWeapons |
P82101
|
FINISHED |
| Object | unguided bombs |
—
|
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: unguided bombs | Statement: [AIDC F-CK-1 Ching-Kuo, airToSurfaceWeapons, unguided bombs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airToSurfaceWeapons Context triple: [AIDC F-CK-1 Ching-Kuo, airToSurfaceWeapons, unguided bombs]
-
A.
aircraftDefensiveArmament
Indicates that an aircraft is equipped with weapons or systems specifically intended for its own defense against attacks.
-
B.
warheadDeliveryMethod
Indicates the method or mechanism by which a warhead is transported, deployed, or delivered to its target.
-
C.
warheadTypes
Indicates the types or categories of warheads associated with a given weapon or delivery system.
-
D.
referredAircraftArmament
Indicates that one aircraft’s armament is being referenced or pointed to in relation to another entity or context.
-
E.
armamentCategory
chosen
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.