Triple
T20912686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidda |
E514987
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Bad Vilbel
Bad Vilbel is a spa town in the German state of Hesse, known for its mineral springs and proximity to Frankfurt am Main.
|
E1456361
|
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: Bad Vilbel | Statement: [Nidda, flowsThrough, Bad Vilbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Vilbel Context triple: [Nidda, flowsThrough, Bad Vilbel]
-
A.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
B.
Bad Wilsnack
Bad Wilsnack is a small spa town in the German state of Brandenburg, known historically as a medieval pilgrimage site.
-
C.
Bubsheim
Bubsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Bad Saulgau
Bad Saulgau is a spa town in the district of Sigmaringen in Baden-Württemberg, Germany, known for its thermal baths and historic town center.
-
E.
Hombourg
Hombourg is a village in the municipality of Plombières in the province of Liège, eastern Belgium, known for its rural landscape and historic farms.
- 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: Bad Vilbel Triple: [Nidda, flowsThrough, Bad Vilbel]
Generated description
Bad Vilbel is a spa town in the German state of Hesse, known for its mineral springs and proximity to Frankfurt am Main.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Vilbel Target entity description: Bad Vilbel is a spa town in the German state of Hesse, known for its mineral springs and proximity to Frankfurt am Main.
-
A.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
B.
Bad Wilsnack
Bad Wilsnack is a small spa town in the German state of Brandenburg, known historically as a medieval pilgrimage site.
-
C.
Bubsheim
Bubsheim is a small municipality in the Zollernalbkreis district of the state of Baden-Württemberg in southwestern Germany.
-
D.
Bad Saulgau
Bad Saulgau is a spa town in the district of Sigmaringen in Baden-Württemberg, Germany, known for its thermal baths and historic town center.
-
E.
Hombourg
Hombourg is a village in the municipality of Plombières in the province of Liège, eastern Belgium, known for its rural landscape and historic farms.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918de5fd08190a5138fdc10898c4f |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091993208c81908fa52d9df76bc3e4 |
completed | May 17, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0919f58008819097e05a187ed4b3de |
completed | May 17, 2026, 1:29 a.m. |
Created at: April 16, 2026, 12:48 p.m.