Triple
T35520167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convention of Klosterzeven |
E1026529
|
entity |
| Predicate | regionOfLocation |
P64798
|
FINISHED |
| Object | Lower Saxony |
—
|
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: Lower Saxony | Statement: [Convention of Klosterzeven, regionOfLocation, Lower Saxony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfLocation Context triple: [Convention of Klosterzeven, regionOfLocation, Lower Saxony]
-
A.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
B.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
C.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
D.
regionOfTown
Indicates that one entity is a specific area or district that forms part of a town.
-
E.
regionName
Indicates the name assigned to a specific geographic or administrative region.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:04 p.m.