Triple
T21396073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schleiz |
E527783
|
entity |
| Predicate | hasNearby |
P350
|
FINISHED |
| Object |
Schleizer Dreieck
Schleizer Dreieck is a historic road racing circuit in Thuringia, Germany, known as one of the oldest natural race tracks in the country.
|
E1482315
|
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: Schleizer Dreieck | Statement: [Schleiz, hasNearby, Schleizer Dreieck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schleizer Dreieck Context triple: [Schleiz, hasNearby, Schleizer Dreieck]
-
A.
Dreieck Erlenbruch
Dreieck Erlenbruch is a German motorway interchange connecting Bundesautobahn 661 with other major routes in the Frankfurt am Main area.
-
B.
Dreischor
Dreischor is a historic village in the Dutch province of Zeeland, known for its well-preserved ring-shaped layout and traditional architecture.
-
C.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
- 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: Schleizer Dreieck Triple: [Schleiz, hasNearby, Schleizer Dreieck]
Generated description
Schleizer Dreieck is a historic road racing circuit in Thuringia, Germany, known as one of the oldest natural race tracks in the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schleizer Dreieck Target entity description: Schleizer Dreieck is a historic road racing circuit in Thuringia, Germany, known as one of the oldest natural race tracks in the country.
-
A.
Dreieck Erlenbruch
Dreieck Erlenbruch is a German motorway interchange connecting Bundesautobahn 661 with other major routes in the Frankfurt am Main area.
-
B.
Dreischor
Dreischor is a historic village in the Dutch province of Zeeland, known for its well-preserved ring-shaped layout and traditional architecture.
-
C.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Stollberg
Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b11981388190874b8466400b39fe |
completed | April 22, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb4d8e34819084b8f3f172dd72e1 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea3994481908b7a782fd384603a |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bfa27d848190bb77d632359a11b3 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.