Triple
T37582524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chung King |
E935009
|
entity |
| Predicate | hasAntiAircraftArmament |
P118958
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chung King, hasAntiAircraftArmament, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntiAircraftArmament Context triple: [Chung King, hasAntiAircraftArmament, yes]
-
A.
airDefenseArmament
chosen
Indicates the weapons or systems specifically equipped on an entity for defending against aerial threats such as aircraft or missiles.
-
B.
aircraftDefensiveArmament
Indicates that an aircraft is equipped with weapons or systems specifically intended for its own defense against attacks.
-
C.
aircraftArmament
Indicates that an aircraft is equipped with a particular weapon or armament system.
-
D.
armamentAsCarrier
Indicates that one entity serves as a carrier or delivery platform for another entity used as an armament or weapon.
-
E.
airDefenseSystemComponent
Indicates that one entity is a component or subsystem of an air defense system associated with another entity.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:17 p.m.