Triple
T6046386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giengen an der Brenz |
E134675
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Burgberg
Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
|
E564954
|
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: Burgberg | Statement: [Giengen an der Brenz, hasSubdivision, Burgberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgberg Context triple: [Giengen an der Brenz, hasSubdivision, Burgberg]
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
C.
Bardenbach
Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
Ringgenberg
Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
- 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: Burgberg Triple: [Giengen an der Brenz, hasSubdivision, Burgberg]
Generated description
Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgberg Target entity description: Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
C.
Bardenbach
Bardenbach is a village and district of the town of Wadern in the Saarland region of western Germany.
-
D.
Rolandseck
Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
-
E.
Ringgenberg
Ringgenberg is a picturesque Swiss village in the canton of Bern, known for its historic church and scenic location in the Bernese Oberland near Interlaken.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e53f508190864be04bc016c525 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c11551bec88190be77db3ec96045ad |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115f88e948190a3ea11b33742779c |
completed | March 23, 2026, 10:29 a.m. |
Created at: March 22, 2026, 4:09 p.m.