Triple
T12454437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S1 line |
E297619
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Flörsheim am Main
Flörsheim am Main is a town in the Main-Taunus district of Hesse, Germany, situated on the River Main between Frankfurt and Mainz.
|
E983704
|
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: Flörsheim am Main | Statement: [S1 line, passesThrough, Flörsheim am Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flörsheim am Main Context triple: [S1 line, passesThrough, Flörsheim am Main]
-
A.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
-
B.
Zeil am Main
Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
-
C.
Rödelheim
Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
-
D.
Sulzfeld am Main
Sulzfeld am Main is a small wine-growing municipality on the river Main in the Franconia region of northern Bavaria, Germany.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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: Flörsheim am Main Triple: [S1 line, passesThrough, Flörsheim am Main]
Generated description
Flörsheim am Main is a town in the Main-Taunus district of Hesse, Germany, situated on the River Main between Frankfurt and Mainz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flörsheim am Main Target entity description: Flörsheim am Main is a town in the Main-Taunus district of Hesse, Germany, situated on the River Main between Frankfurt and Mainz.
-
A.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
-
B.
Zeil am Main
Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
-
C.
Rödelheim
Rödelheim is a district of Frankfurt am Main, Germany, known as a largely residential area with good transport links and local amenities.
-
D.
Sulzfeld am Main
Sulzfeld am Main is a small wine-growing municipality on the river Main in the Franconia region of northern Bavaria, Germany.
-
E.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6405f9f6481909bcc3b2e3deeae7e |
completed | May 2, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.