Triple
T2263818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Coronet |
E50097
|
entity |
| Predicate | plannedScale |
P10773
|
FINISHED |
| Object | one of the largest amphibious operations ever conceived |
—
|
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: one of the largest amphibious operations ever conceived | Statement: [Operation Coronet, plannedScale, one of the largest amphibious operations ever conceived]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedScale Context triple: [Operation Coronet, plannedScale, one of the largest amphibious operations ever conceived]
-
A.
plannedTarget
Indicates that one entity has been designated or selected as the intended target or objective of another entity’s planned action or operation.
-
B.
operationScale
chosen
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
-
C.
plannedUnder
Indicates that one entity has been scheduled, organized, or arranged to occur within the scope, authority, or framework of another entity.
-
D.
hasPlanningLevel
Indicates that an entity is associated with a specific stage, tier, or granularity within a planning or scheduling hierarchy.
-
E.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.