Triple
T14951052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Neumark
Neumark is a small town in the Weimarer Land district of the German state of Thuringia.
|
E1129102
|
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: Neumark | Statement: [Weimarer Land, containsTown, Neumark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neumark Context triple: [Weimarer Land, containsTown, Neumark]
-
A.
Neumark region
The Neumark region was a historical borderland of Brandenburg-Prussia in eastern Germany, located east of the Oder River and long contested between German and Polish powers.
-
B.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
C.
Neuhof
Neuhof is a district in Strasbourg, France, that serves as a key hub in the city’s bus transportation network.
-
D.
Kraichgau
Kraichgau is a hilly, fertile region in southwestern Germany known for its agriculture, vineyards, and picturesque landscapes between the Black Forest and the Odenwald.
-
E.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
- 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: Neumark Triple: [Weimarer Land, containsTown, Neumark]
Generated description
Neumark is a small town in the Weimarer Land district of the German state of Thuringia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neumark Target entity description: Neumark is a small town in the Weimarer Land district of the German state of Thuringia.
-
A.
Neumark region
The Neumark region was a historical borderland of Brandenburg-Prussia in eastern Germany, located east of the Oder River and long contested between German and Polish powers.
-
B.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
-
C.
Neuhof
Neuhof is a district in Strasbourg, France, that serves as a key hub in the city’s bus transportation network.
-
D.
Kraichgau
Kraichgau is a hilly, fertile region in southwestern Germany known for its agriculture, vineyards, and picturesque landscapes between the Black Forest and the Odenwald.
-
E.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83fdef58819098cda8cca0d810dd |
completed | May 9, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8518121c8190b6ffcc14ec5ac8ea |
completed | May 9, 2026, 12:51 a.m. |
Created at: April 10, 2026, 2:39 a.m.