Triple
T17425663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Cherbourg |
E423730
|
entity |
| Predicate | timeSinceNormandyLandings |
P38298
|
FINISHED |
| Object | shortly after 6 June 1944 |
—
|
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: shortly after 6 June 1944 | Statement: [Battle of Cherbourg, timeSinceNormandyLandings, shortly after 6 June 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSinceNormandyLandings Context triple: [Battle of Cherbourg, timeSinceNormandyLandings, shortly after 6 June 1944]
-
A.
numberOfChannelCrossingsAtNormandy
Indicates the number of times an entity crossed the English Channel specifically in relation to the Normandy area or campaign.
-
B.
timeSinceStartOfWar
Indicates the amount of time that has elapsed since the war began.
-
C.
locationOnD-Day
chosen
Indicates the specific place where an entity was situated on D-Day (June 6, 1944).
-
D.
timeSinceWorldWarII
Indicates the amount of time that has elapsed since the end of World War II.
-
E.
timeSpanOfWarCommemorated
Indicates the specific duration or period of a war that is being commemorated.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fbfda88190be1c001d64289bf7 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.