Triple
T8945973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kattowitz |
E213221
|
entity |
| Predicate | timePeriodAsGermanCity |
P86482
|
FINISHED |
| Object | 1871–1918 |
—
|
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: 1871–1918 | Statement: [Kattowitz, timePeriodAsGermanCity, 1871–1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodAsGermanCity Context triple: [Kattowitz, timePeriodAsGermanCity, 1871–1918]
-
A.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
B.
timeAsCapital
Indicates the period during which a particular city served as the capital of a political entity.
-
C.
numberOfStadtkreise
Indicates the quantity of urban districts (Stadtkreise) associated with a given administrative or geographic entity.
-
D.
endTimeAsManagerOfGermany
Indicates the time at which an entity’s role or tenure as manager of Germany comes to an end.
-
E.
federalStateOfGermany
Indicates that one entity is a federal state (Bundesland) that is a constituent state within the country of Germany.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66dd00c481908ff20fd66c1954cc |
completed | April 1, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc60e0d7208190966797ce5f95fe49 |
completed | April 1, 2026, 12:03 a.m. |
Created at: March 30, 2026, 6:59 p.m.