Triple
T722279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Beach |
E14643
|
entity |
| Predicate | countryDuringWWII |
P3258
|
FINISHED |
| Object | German-occupied France |
—
|
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: German-occupied France | Statement: [Utah Beach, countryDuringWWII, German-occupied France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringWWII Context triple: [Utah Beach, countryDuringWWII, German-occupied France]
-
A.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
B.
countryOnAlliedSide
Indicates that a country is aligned with and actively supports a particular side or coalition in a conflict, alliance, or broader geopolitical context.
-
C.
countryOccupied
chosen
Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
-
D.
countryOfVictoriousSide
Indicates the country to which the winning or victorious side in a conflict, competition, or contest belongs.
-
E.
countryOfDefeatedSide
Indicates the country to which the losing or defeated side in a conflict, competition, or confrontation belongs.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.