Triple
T10988297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhön-Grabfeld |
E259686
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Burglauer
Burglauer is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
|
E898355
|
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: Burglauer | Statement: [Rhön-Grabfeld, contains, Burglauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burglauer Context triple: [Rhön-Grabfeld, contains, Burglauer]
-
A.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
B.
Diebitsch
Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
-
C.
Blagar
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
-
D.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
-
E.
Bürgel
Bürgel is a small town in the Saale-Holzland district of Thuringia in central Germany, known for its traditional ceramics.
- 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: Burglauer Triple: [Rhön-Grabfeld, contains, Burglauer]
Generated description
Burglauer is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burglauer Target entity description: Burglauer is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
A.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
B.
Diebitsch
Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
-
C.
Blagar
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
-
D.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
-
E.
Bürgel
Bürgel is a small town in the Saale-Holzland district of Thuringia in central Germany, known for its traditional ceramics.
- 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_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.