Triple
T10968507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldeck-Frankenberg |
E259169
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Battonnberg
Battonnberg is a small town in the Waldeck-Frankenberg district of the German state of Hesse.
|
E897432
|
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: Battonnberg | Statement: [Waldeck-Frankenberg, containsTown, Battonnberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battonnberg Context triple: [Waldeck-Frankenberg, containsTown, Battonnberg]
-
A.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
B.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
C.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
D.
Rixheim
Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
-
E.
Leuchtenberg
Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
- 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: Battonnberg Triple: [Waldeck-Frankenberg, containsTown, Battonnberg]
Generated description
Battonnberg is a small town in the Waldeck-Frankenberg district of the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Battonnberg Target entity description: Battonnberg is a small town in the Waldeck-Frankenberg district of the German state of Hesse.
-
A.
Schorisse
Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
-
B.
Moensberg
Moensberg is a residential neighborhood in the municipality of Uccle in the Brussels-Capital Region of Belgium.
-
C.
Bütgenbach
Bütgenbach is a municipality in eastern Belgium’s German-speaking Community, known for its scenic lake, outdoor recreation, and proximity to the strategic Elsenborn Ridge.
-
D.
Rixheim
Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
-
E.
Leuchtenberg
Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719800388190943a0bffa48a2731 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d78156c48190a956dc22b9832bcb |
completed | April 18, 2026, 12:59 a.m. |
| NEDg | Description generation | batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3261cc4f48190ba0e5645f37cd4b5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.