Triple
T14938434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar-Berg |
E372457
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
Colmer-Bierg
Colmer-Bierg is the Luxembourgish name for the town of Colmar-Berg in central Luxembourg, known for hosting the Grand Duke’s principal residence.
|
E1128622
|
NE FINISHED |
How this triple was built (4 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, hasLocalName, Colmer-Bierg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colmer-Bierg Context triple: [Colmar-Berg, hasLocalName, Colmer-Bierg]
-
A.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
B.
Berninger
Berninger is a German-origin surname most notably associated with Matt Berninger, the lead singer of the indie rock band The National.
-
C.
Hofbieber
Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
-
D.
Beyenburg
Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colmer-Bierg Triple: [Colmar-Berg, hasLocalName, Colmer-Bierg]
Generated description
Colmer-Bierg is the Luxembourgish name for the town of Colmar-Berg in central Luxembourg, known for hosting the Grand Duke’s principal residence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colmer-Bierg Target entity description: Colmer-Bierg is the Luxembourgish name for the town of Colmar-Berg in central Luxembourg, known for hosting the Grand Duke’s principal residence.
-
A.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
B.
Berninger
Berninger is a German-origin surname most notably associated with Matt Berninger, the lead singer of the indie rock band The National.
-
C.
Hofbieber
Hofbieber is a municipality in the state of Hesse in central Germany, known for its rural setting in the Rhön Mountains region.
-
D.
Beyenburg
Beyenburg is a historic district in the eastern part of Wuppertal, Germany, known for its medieval monastery, reservoir, and well-preserved village character.
-
E.
Kuppenheimer
Kuppenheimer was a prominent American men's clothing company best known for its high-quality suits and influential early 20th-century advertising campaigns.
- F. None of above. chosen
Provenance (5 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8e9c0c81909cfb1e02987527c0 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f299cf081909a3e15ead54bd2fc |
completed | May 9, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7fb4aa5c8190bca9fc60a1ef6833 |
completed | May 9, 2026, 12:28 a.m. |
Created at: April 10, 2026, 2:38 a.m.