Triple
T31837949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German South-West Africa |
E812723
|
entity |
| Predicate | legalStatusAfterWorldWarI |
P4701
|
FINISHED |
| Object | League of Nations mandate |
—
|
NE NERFINISHED |
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: League of Nations mandate | Statement: [German South-West Africa, legalStatusAfterWorldWarI, League of Nations mandate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusAfterWorldWarI Context triple: [German South-West Africa, legalStatusAfterWorldWarI, League of Nations mandate]
-
A.
legalStatusAfterWar
chosen
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
B.
statusAfter1918
Indicates the status or condition of an entity as it existed after the year 1918.
-
C.
legalStatusDuringWWI
Indicates the legal condition or classification an entity held specifically during World War I (e.g., enemy alien, neutral, ally, civilian, combatant).
-
D.
after1914Status
Indicates the status or condition of an entity specifically in the period after the year 1914.
-
E.
legalStatusAfter1917
Indicates the legal status or condition of an entity as it existed after the year 1917.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 30, 2026, 11:48 p.m.