Triple
T23124867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Flörsbachtal
Flörsbachtal is a small municipality in the Spessart region of Hesse, Germany, known for its forested landscapes and outdoor recreation opportunities.
|
E1570972
|
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: Flörsbachtal | Statement: [Main-Kinzig-Kreis, contains, Flörsbachtal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flörsbachtal Context triple: [Main-Kinzig-Kreis, contains, Flörsbachtal]
-
A.
Fischbachtal
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
B.
Haselbachtal
Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
-
C.
Urbachtal
Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
-
D.
Waldachtal
Waldachtal is a small municipality in the Black Forest region of southwestern Germany, known for its rural landscape and spa and tourism activities.
-
E.
Walzbachtal
Walzbachtal is a municipality in the state of Baden-Württemberg in southwestern 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: Flörsbachtal Triple: [Main-Kinzig-Kreis, contains, Flörsbachtal]
Generated description
Flörsbachtal is a small municipality in the Spessart region of Hesse, Germany, known for its forested landscapes and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flörsbachtal Target entity description: Flörsbachtal is a small municipality in the Spessart region of Hesse, Germany, known for its forested landscapes and outdoor recreation opportunities.
-
A.
Fischbachtal
Fischbachtal is a small municipality in southern Hesse, Germany, known for its rural landscape and the historic Lichtenberg Castle.
-
B.
Haselbachtal
Haselbachtal is a municipality in the German state of Saxony, known for its rural character and location within the Bautzen district.
-
C.
Urbachtal
Urbachtal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its rugged mountain scenery and hiking routes.
-
D.
Waldachtal
Waldachtal is a small municipality in the Black Forest region of southwestern Germany, known for its rural landscape and spa and tourism activities.
-
E.
Walzbachtal
Walzbachtal is a municipality in the state of Baden-Württemberg in southwestern 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e53ac288190b27fe8064fb576c2 |
completed | April 29, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23f25dec8190984bc2dafd008a48 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271e8a8c8190ba994f557f077288 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27d3befc8190bc7a3697bc0e817b |
completed | May 19, 2026, 9:05 a.m. |
Created at: April 17, 2026, 3:59 p.m.