Triple
T14033250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIDC F-CK-1 Ching-Kuo |
E337643
|
entity |
| Predicate | enteredROCAFService |
P112569
|
FINISHED |
| Object | mid-1990s |
—
|
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: mid-1990s | Statement: [AIDC F-CK-1 Ching-Kuo, enteredROCAFService, mid-1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredROCAFService Context triple: [AIDC F-CK-1 Ching-Kuo, enteredROCAFService, mid-1990s]
-
A.
enteredRAFService
Indicates that an entity began service in the Royal Air Force (RAF).
-
B.
enteredUSAAFService
Indicates that an entity began active service in the United States Army Air Forces.
-
C.
enteredService
Indicates that an entity began active use or operation at a specific time or in a specific context.
-
D.
enteredServiceWithUnit
Indicates that an entity began its period of service or active duty while assigned to a specified unit.
-
E.
referredAircraftEnteredService
Indicates that the aircraft being referenced has begun its operational service or has been officially placed into service.
- 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_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. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.