Triple
T14303830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg-Mömpelgard |
E354637
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Mömpelgard
Mömpelgard is the historical German name for the town of Montbéliard in eastern France, long associated with the counts and dukes of Württemberg.
|
E1091642
|
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: Mömpelgard | Statement: [Württemberg-Mömpelgard, namedAfter, Mömpelgard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mömpelgard Context triple: [Württemberg-Mömpelgard, namedAfter, Mömpelgard]
-
A.
Lealholm
Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
-
B.
Thalheim
Thalheim is a town in the German state of Saxony-Anhalt that was incorporated into the larger city of Bitterfeld-Wolfen.
-
C.
Ederheim
Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Isselburg
Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
- 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: Mömpelgard Triple: [Württemberg-Mömpelgard, namedAfter, Mömpelgard]
Generated description
Mömpelgard is the historical German name for the town of Montbéliard in eastern France, long associated with the counts and dukes of Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mömpelgard Target entity description: Mömpelgard is the historical German name for the town of Montbéliard in eastern France, long associated with the counts and dukes of Württemberg.
-
A.
Lealholm
Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
-
B.
Thalheim
Thalheim is a town in the German state of Saxony-Anhalt that was incorporated into the larger city of Bitterfeld-Wolfen.
-
C.
Ederheim
Ederheim is a small municipality in the Donau-Ries district of Bavaria in southern Germany.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Isselburg
Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3edf42788190b50b1144a7de41df |
completed | May 8, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3fbd931081908ba0b1838d9be49c |
completed | May 8, 2026, 1:43 a.m. |
Created at: April 10, 2026, 1:12 a.m.