Triple
T11134982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrichsdorf |
E263386
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Burgholzhausen vor der Höhe
Burgholzhausen vor der Höhe is a district of the town of Friedrichsdorf in the German state of Hesse, known for its residential character and proximity to the Taunus region.
|
E907961
|
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: Burgholzhausen vor der Höhe | Statement: [Friedrichsdorf, hasSubdivision, Burgholzhausen vor der Höhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgholzhausen vor der Höhe Context triple: [Friedrichsdorf, hasSubdivision, Burgholzhausen vor der Höhe]
-
A.
Burgwerben
Burgwerben is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its rural character and local wine-growing traditions.
-
B.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
C.
Nattenhausen
Nattenhausen is a small village in the Bavarian district of Günzburg in southern Germany.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
- 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: Burgholzhausen vor der Höhe Triple: [Friedrichsdorf, hasSubdivision, Burgholzhausen vor der Höhe]
Generated description
Burgholzhausen vor der Höhe is a district of the town of Friedrichsdorf in the German state of Hesse, known for its residential character and proximity to the Taunus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burgholzhausen vor der Höhe Target entity description: Burgholzhausen vor der Höhe is a district of the town of Friedrichsdorf in the German state of Hesse, known for its residential character and proximity to the Taunus region.
-
A.
Burgwerben
Burgwerben is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its rural character and local wine-growing traditions.
-
B.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
C.
Nattenhausen
Nattenhausen is a small village in the Bavarian district of Günzburg in southern Germany.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.