Triple
T10519865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bretten |
E248135
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gölshausen
Gölshausen is a village and district (Stadtteil) of the town of Bretten in the state of Baden-Württemberg, Germany.
|
E949507
|
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: Gölshausen | Statement: [Bretten, hasSubdivision, Gölshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gölshausen Context triple: [Bretten, hasSubdivision, Gölshausen]
-
A.
Waigolshausen
Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
-
B.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
C.
Gessertshausen
Gessertshausen is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Dingolshausen
Dingolshausen is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany, known for its rural character and surrounding wine-growing areas.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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: Gölshausen Triple: [Bretten, hasSubdivision, Gölshausen]
Generated description
Gölshausen is a village and district (Stadtteil) of the town of Bretten in the state of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gölshausen Target entity description: Gölshausen is a village and district (Stadtteil) of the town of Bretten in the state of Baden-Württemberg, Germany.
-
A.
Waigolshausen
Waigolshausen is a small municipality in the Schweinfurt district of Bavaria, Germany, known for its rural character and location in the Franconian region.
-
B.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
C.
Gessertshausen
Gessertshausen is a municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Dingolshausen
Dingolshausen is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany, known for its rural character and surrounding wine-growing areas.
-
E.
Vellinghausen
Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509de0b3081909bec337aa8ff193e |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1658e03a8819098ea2ac2f818a61a |
completed | April 29, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 6, 2026, 12:28 p.m.