Triple
T15946904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetzlar |
E386707
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Münchholzhausen
Münchholzhausen is a district of the city of Wetzlar in the German state of Hesse.
|
E1212694
|
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: Münchholzhausen | Statement: [Wetzlar, hasSubdivision, Münchholzhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Münchholzhausen Context triple: [Wetzlar, hasSubdivision, Münchholzhausen]
-
A.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
B.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, Germany.
-
C.
Merzhausen
Merzhausen is a village-level district that forms one of the subdivisions of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Wilhelmsruh
Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
-
E.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
- 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: Münchholzhausen Triple: [Wetzlar, hasSubdivision, Münchholzhausen]
Generated description
Münchholzhausen is a district of the city of Wetzlar in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Münchholzhausen Target entity description: Münchholzhausen is a district of the city of Wetzlar in the German state of Hesse.
-
A.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
B.
Essinghausen
Essinghausen is a village and locality that forms part of the town of Peine in Lower Saxony, Germany.
-
C.
Merzhausen
Merzhausen is a village-level district that forms one of the subdivisions of the town of Usingen in the Hochtaunus region of Hesse, Germany.
-
D.
Wilhelmsruh
Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
-
E.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00456d5e74819080c838468ec015ef |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a0046dd6f988190a36e6660ff7dfa19 |
completed | May 10, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00474080b0819084aa13a4b30fa1dd |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 4:53 a.m.