Triple
T12887133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darmstadt-Dieburg |
E308256
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Groß-Zimmern
Groß-Zimmern is a municipality in the Darmstadt-Dieburg district of the German state of Hesse, located near the city of Darmstadt.
|
E1013726
|
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: Groß-Zimmern | Statement: [Darmstadt-Dieburg, contains, Groß-Zimmern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Groß-Zimmern Context triple: [Darmstadt-Dieburg, contains, Groß-Zimmern]
-
A.
Dürrenzimmern
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
B.
Großeibstadt
Großeibstadt is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and Franconian village setting.
-
C.
Dietramszell
Dietramszell is a rural Bavarian municipality in southern Germany, known for its scenic countryside and historic monastery complex.
-
D.
Ziemetshausen
Ziemetshausen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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: Groß-Zimmern Triple: [Darmstadt-Dieburg, contains, Groß-Zimmern]
Generated description
Groß-Zimmern is a municipality in the Darmstadt-Dieburg district of the German state of Hesse, located near the city of Darmstadt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Groß-Zimmern Target entity description: Groß-Zimmern is a municipality in the Darmstadt-Dieburg district of the German state of Hesse, located near the city of Darmstadt.
-
A.
Dürrenzimmern
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
B.
Großeibstadt
Großeibstadt is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and Franconian village setting.
-
C.
Dietramszell
Dietramszell is a rural Bavarian municipality in southern Germany, known for its scenic countryside and historic monastery complex.
-
D.
Ziemetshausen
Ziemetshausen is a small municipality in the Swabian region of Bavaria in southern Germany.
-
E.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714415c08190aa9944b494a3ddad |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ccee708190bb4caa604386e3a3 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6bafee83c819096469034ca32ff7d |
completed | May 3, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:39 p.m.