Triple
T23124861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main-Kinzig-Kreis |
E576998
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Erlensee
Erlensee is a small town in the German state of Hesse, located near Frankfurt am Main.
|
E1592036
|
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: Erlensee | Statement: [Main-Kinzig-Kreis, contains, Erlensee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlensee Context triple: [Main-Kinzig-Kreis, contains, Erlensee]
-
A.
Murtensee
Murtensee is a picturesque lake in the canton of Fribourg in western Switzerland, known for its medieval lakeside town of Murten and popular recreational activities.
-
B.
Zeuthener See
Zeuthener See is a lake in Brandenburg, Germany, forming part of the Dahme river–lake system on the southeastern edge of Berlin and serving as a popular area for boating and watersports.
-
C.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
D.
Stutensee
Stutensee is a town in the district of Karlsruhe in the state of Baden-Württemberg in southwestern Germany.
-
E.
Edersee
Edersee is a large artificial reservoir in northern Hesse, Germany, created by the Eder Dam and known for recreation, water sports, and its scenic surroundings.
- 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: Erlensee Triple: [Main-Kinzig-Kreis, contains, Erlensee]
Generated description
Erlensee is a small town in the German state of Hesse, located near Frankfurt am Main.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erlensee Target entity description: Erlensee is a small town in the German state of Hesse, located near Frankfurt am Main.
-
A.
Murtensee
Murtensee is a picturesque lake in the canton of Fribourg in western Switzerland, known for its medieval lakeside town of Murten and popular recreational activities.
-
B.
Zeuthener See
Zeuthener See is a lake in Brandenburg, Germany, forming part of the Dahme river–lake system on the southeastern edge of Berlin and serving as a popular area for boating and watersports.
-
C.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
D.
Stutensee
Stutensee is a town in the district of Karlsruhe in the state of Baden-Württemberg in southwestern Germany.
-
E.
Edersee
Edersee is a large artificial reservoir in northern Hesse, Germany, created by the Eder Dam and known for recreation, water sports, and its scenic surroundings.
- 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_6a0cdf276ac0819085dc4caac7dd8b0c |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0d7213f9508190a8884846e19079e3 |
completed | May 20, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0d72ad1b148190bbe5f65e84ac2837 |
completed | May 20, 2026, 8:37 a.m. |
Created at: April 17, 2026, 3:59 p.m.