Triple
T9206184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelberg |
E220985
|
entity |
| Predicate | locatedInPartOfGermany |
P86978
|
FINISHED |
| Object | eastern Germany |
—
|
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: eastern Germany | Statement: [Havelberg, locatedInPartOfGermany, eastern Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPartOfGermany Context triple: [Havelberg, locatedInPartOfGermany, eastern Germany]
-
A.
locatedInFormerEastGermany
Indicates that the subject is geographically situated within the territory that constituted East Germany before German reunification.
-
B.
containsGermanSpeakingArea
Indicates that one entity geographically includes an area where German is predominantly spoken.
-
C.
isLocatedInFranconiaRegion
Indicates that something is situated within the geographical boundaries of the Franconia region.
-
D.
locatedInNorthernEurope
Indicates that the subject is geographically situated within the region of Northern Europe.
-
E.
germanyParticipationStatus
Indicates whether and how Germany is participating in a specified event, activity, or arrangement.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd947a0a08190966f22a6207c9120 |
completed | April 1, 2026, 8:37 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6745c17881908df72443e0800068 |
completed | April 1, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:26 p.m.