Triple
T5798242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colognian |
E128558
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | Kölsch |
E187426
|
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: Kölsch | Statement: [Colognian, hasEndonym, Kölsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kölsch Context triple: [Colognian, hasEndonym, Kölsch]
-
A.
Kölsch
chosen
Kölsch is a Ripuarian dialect of the German language traditionally spoken in and around the city of Cologne.
-
B.
Kellerbier
Kellerbier is a traditional unfiltered and naturally carbonated German lager, especially associated with the Franconia (Franken) region, known for its fresh, cellar-served character.
-
C.
Oktoberfestbier
Oktoberfestbier is a special, stronger Märzen-style lager brewed by Munich breweries specifically for serving at the annual Oktoberfest celebration.
-
D.
Bock
Bock is a German-origin surname borne by various notable individuals across fields such as science, the military, and the arts.
-
E.
Andechser Weissbier Hell
Andechser Weissbier Hell is a pale Bavarian wheat beer brewed by the monastic brewery of Andechs Abbey, known for its refreshing, mildly fruity character and traditional craftsmanship.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a959b108190a7408560e1b34cd2 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfb0ea6c819095487404545af9ca |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:51 p.m.