Triple
T16642890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar-Berg |
E404387
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object | Colmer-Bierg |
E1128622
|
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: Colmer-Bierg | Statement: [Colmar-Berg, localName, Colmer-Bierg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colmer-Bierg Context triple: [Colmar-Berg, localName, Colmer-Bierg]
-
A.
Colmer-Bierg
chosen
Colmer-Bierg is the Luxembourgish name for the town of Colmar-Berg in central Luxembourg, known for hosting the Grand Duke’s principal residence.
-
B.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
C.
Berninger
Berninger is a German-origin surname most notably associated with Matt Berninger, the lead singer of the indie rock band The National.
-
D.
Hofbieber
Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
-
E.
Beyenburg
Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad27b5481908316b4f23fb8bc32 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bd1b648190b6189533dcd7b9ac |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.