Triple
T17162285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junkers Ju 290 |
E416509
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | KG 200 |
E344857
|
NE 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: KG 200 | Statement: [Junkers Ju 290, usedBy, KG 200]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KG 200 Context triple: [Junkers Ju 290, usedBy, KG 200]
-
A.
KG 200
chosen
KG 200 is a historical non-fiction book by John Clive that examines the secret operations of a special Luftwaffe unit during World War II.
-
B.
KG 100
KG 100 was a specialized Luftwaffe bomber unit of World War II noted for pioneering the operational use of guided anti-ship missiles such as the Henschel Hs 293.
-
C.
KG 53
KG 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known for its operations on both the Eastern and Western Fronts.
-
D.
K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
-
E.
KM.G
KM.G is a hip-hop producer and member of the Compton-based group Above the Law, known for his work shaping the early West Coast G-funk sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.