Triple
T1573892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Dynamo |
E33603
|
entity |
| Predicate | frenchTroopsEvacuated |
P30715
|
FINISHED |
| Object | about 140000 |
—
|
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: about 140000 | Statement: [Operation Dynamo, frenchTroopsEvacuated, about 140000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchTroopsEvacuated Context triple: [Operation Dynamo, frenchTroopsEvacuated, about 140000]
-
A.
dateOfBritishEvacuation
Indicates the date on which British forces or authorities withdrew from or evacuated a specified place.
-
B.
FrenchCasualties
Indicates that the relationship specifies the number or extent of casualties suffered by French forces in a given event or context.
-
C.
countryLiberated
Indicates that one country has freed another country from occupation, control, or oppression, restoring its independence or autonomy.
-
D.
fleetCommander (French)
Indicates that one entity serves as the commanding officer in charge of a fleet associated with another entity.
-
E.
dateOfParisOccupation
Indicates the date on which the occupation of Paris by a particular force or authority began.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.