Triple
T7047632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Clive |
E163680
|
entity |
| Predicate | notableWork |
P4
|
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: [John Clive, notableWork, KG 200]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KG 200 Context triple: [John Clive, notableWork, 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 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.
-
C.
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.
-
D.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
-
E.
K7
K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24c4004819086002bfe55502374 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887e6e50819088c23c9b45861a54 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.