Triple
T13323430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohm |
E317372
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Cölbe |
E824432
|
NE 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: Cölbe | Statement: [Ohm, mouthLocation, Cölbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cölbe Context triple: [Ohm, mouthLocation, Cölbe]
-
A.
Cölbe
chosen
Cölbe is a small municipality in the central German state of Hesse, located just north of the university city of Marburg.
-
B.
Körbecke
Körbecke is a village in North Rhine-Westphalia, Germany, situated on the shores of the Möhne Reservoir and known as a local recreational and holiday destination.
-
C.
Kölzig
Kölzig is the surname of former professional ice hockey goaltender Olie Kolzig, best known for his long NHL career with the Washington Capitals.
-
D.
Ködnitz
Ködnitz is a small municipality in northern Bavaria, Germany, known for its rural character within the Franconian region.
-
E.
Böbing
Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992c1fec8190bcb6a6bb3c973a24 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266cfb3c8190ac9ccb7696d02922 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:30 p.m.