Triple
T24863042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPN |
E622203
|
entity |
| Predicate | legalStatusDuringWWII |
P19660
|
FINISHED |
| Object | banned by German occupation authorities |
—
|
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: banned by German occupation authorities | Statement: [CPN, legalStatusDuringWWII, banned by German occupation authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusDuringWWII Context triple: [CPN, legalStatusDuringWWII, banned by German occupation authorities]
-
A.
legalStatusDuringWWI
Indicates the legal condition or classification an entity held specifically during World War I (e.g., enemy alien, neutral, ally, civilian, combatant).
-
B.
statusDuringWorldWarII
chosen
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
C.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
D.
operatorDuringWorldWarII
Indicates that an entity operated or was active in its role during the period of World War II.
-
E.
ownerDuringWorldWarII
Indicates that one entity was the owner of another entity specifically during the time period of World War II.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 5:22 a.m.