Triple
T24994306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambia |
E625526
|
entity |
| Predicate | ethnicallyGermanizedDuring |
P158156
|
FINISHED |
| Object | Middle Ages |
—
|
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: Middle Ages | Statement: [Sambia, ethnicallyGermanizedDuring, Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicallyGermanizedDuring Context triple: [Sambia, ethnicallyGermanizedDuring, Middle Ages]
-
A.
wasUnderGermanRuleAtBirthOf
Indicates that the subject’s place of birth was under German political or administrative control at the time of the object’s birth.
-
B.
countryDuringGermanRule
Indicates that one entity functioned as a country or territorial unit during a period when it was under German rule or control.
-
C.
countryDuringNaziPeriod
Indicates that an entity functioned as a country or national state specifically during the historical period of Nazi rule.
-
D.
locatedInFormerEastGermany
Indicates that the subject is geographically situated within the territory that constituted East Germany before German reunification.
-
E.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:04 a.m.