Triple
T10988116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haßberge (district) |
E259683
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
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.
|
E935131
|
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: Zeil am Main | Statement: [Haßberge (district), contains, Zeil am Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeil am Main Context triple: [Haßberge (district), contains, Zeil 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.
Alzey
Alzey is a historic town in the Rhineland-Palatinate region of Germany, known as one of the Nibelungen cities and for its wine-growing tradition.
-
C.
Weimar (Lahn)
Weimar (Lahn) is a small municipality in the German state of Hesse, located near the university city of Marburg.
-
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.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
- 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: Zeil am Main Triple: [Haßberge (district), contains, Zeil am Main]
Generated description
Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeil am Main Target entity description: Zeil am Main is a small historic town in northern Bavaria, Germany, known for its wine culture and location along the Main River.
-
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.
Alzey
Alzey is a historic town in the Rhineland-Palatinate region of Germany, known as one of the Nibelungen cities and for its wine-growing tradition.
-
C.
Weimar (Lahn)
Weimar (Lahn) is a small municipality in the German state of Hesse, located near the university city of Marburg.
-
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.
Neustadt an der Aisch
Neustadt an der Aisch is a small town in the Bavarian region of Germany, known for its historic center and location along the Aisch River between Würzburg and Nuremberg.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712e6288481908071e248a50209e0 |
completed | April 21, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 8, 2026, 9:24 p.m.