Triple
T14951051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weimarer Land |
E372793
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Buttstädt
Buttstädt is a small historic town in the German state of Thuringia, known for its traditional rural character and location northeast of Weimar.
|
E1140428
|
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: Buttstädt | Statement: [Weimarer Land, containsTown, Buttstädt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buttstädt Context triple: [Weimarer Land, containsTown, Buttstädt]
-
A.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
C.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
D.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
- 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: Buttstädt Triple: [Weimarer Land, containsTown, Buttstädt]
Generated description
Buttstädt is a small historic town in the German state of Thuringia, known for its traditional rural character and location northeast of Weimar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buttstädt Target entity description: Buttstädt is a small historic town in the German state of Thuringia, known for its traditional rural character and location northeast of Weimar.
-
A.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
C.
Buttenwiesen
Buttenwiesen is a municipality in the Bavarian region of Swabia in southern Germany, known for its rural character and location along the Danube River.
-
D.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
- 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_69febfd3ebd08190a2b7c70c2ba6deb3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec08c37dc8190a59289e4ee76beab |
completed | May 9, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec10cd2d48190ba96885ca604a853 |
completed | May 9, 2026, 5:07 a.m. |
Created at: April 10, 2026, 2:39 a.m.