Triple
T10103159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadamar |
E216251
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oberweyer
Oberweyer is a small district or locality that forms part of the town of Hadamar in the German state of Hesse.
|
E880575
|
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: Oberweyer | Statement: [Hadamar, hasSubdivision, Oberweyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberweyer Context triple: [Hadamar, hasSubdivision, Oberweyer]
-
A.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
B.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
C.
Oberselters
Oberselters is a district of the spa town Bad Camberg in Hesse, Germany, known for its rural character within the Taunus region.
-
D.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
E.
Oberwiesenthal
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
- 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: Oberweyer Triple: [Hadamar, hasSubdivision, Oberweyer]
Generated description
Oberweyer is a small district or locality that forms part of the town of Hadamar in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberweyer Target entity description: Oberweyer is a small district or locality that forms part of the town of Hadamar in the German state of Hesse.
-
A.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
B.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
C.
Oberselters
Oberselters is a district of the spa town Bad Camberg in Hesse, Germany, known for its rural character within the Taunus region.
-
D.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
E.
Oberwiesenthal
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998671c1c8190be2012a3faf6ba35 |
completed | April 11, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d99cf6c7ac8190a0ffc7bad38de3a2 |
completed | April 11, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: March 30, 2026, 9:03 p.m.