Triple
T9498728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadt an der Waldnaab (district) |
E229079
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grafenwöhr
Grafenwöhr is a Bavarian town best known for hosting one of the largest U.S. Army training areas in Europe.
|
E802107
|
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: Grafenwöhr | Statement: [Neustadt an der Waldnaab (district), contains, Grafenwöhr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grafenwöhr Context triple: [Neustadt an der Waldnaab (district), contains, Grafenwöhr]
-
A.
Vockenhausen
Vockenhausen is a district of the town of Eppstein in the German state of Hesse.
-
B.
Ohlendorf
Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
-
C.
Reundorf
Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Hadersdorf am Kamp
Hadersdorf am Kamp is a small town in Lower Austria known as the burial place of the famed Austrian field marshal Ernst Gideon von Laudon.
-
E.
Oberkassel
Oberkassel is a district on the right bank of the Rhine in Bonn, Germany, known for its residential character and historic riverside setting.
- 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: Grafenwöhr Triple: [Neustadt an der Waldnaab (district), contains, Grafenwöhr]
Generated description
Grafenwöhr is a Bavarian town best known for hosting one of the largest U.S. Army training areas in Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grafenwöhr Target entity description: Grafenwöhr is a Bavarian town best known for hosting one of the largest U.S. Army training areas in Europe.
-
A.
Vockenhausen
Vockenhausen is a district of the town of Eppstein in the German state of Hesse.
-
B.
Ohlendorf
Ohlendorf is a German surname most notably associated with Otto Ohlendorf, a high-ranking Nazi SS officer and war criminal.
-
C.
Reundorf
Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Hadersdorf am Kamp
Hadersdorf am Kamp is a small town in Lower Austria known as the burial place of the famed Austrian field marshal Ernst Gideon von Laudon.
-
E.
Oberkassel
Oberkassel is a district on the right bank of the Rhine in Bonn, Germany, known for its residential character and historic riverside setting.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d3aafb88190ac53289039bca88a |
completed | April 4, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69d12dcae2088190bdb4ebac9021e622 |
completed | April 4, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4077a4819094e86eb0de69b2ed |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:56 p.m.