Triple
T10519866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bretten |
E248135
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Neibsheim
Neibsheim is a village and district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
|
E868538
|
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: Neibsheim | Statement: [Bretten, hasSubdivision, Neibsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neibsheim Context triple: [Bretten, hasSubdivision, Neibsheim]
-
A.
Geinsheim
Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
-
B.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
C.
Vendenheim
Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
-
D.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
E.
Diedelsheim
Diedelsheim is a district of the town of Bretten in the state of Baden-Württemberg in southwestern 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: Neibsheim Triple: [Bretten, hasSubdivision, Neibsheim]
Generated description
Neibsheim is a village and district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neibsheim Target entity description: Neibsheim is a village and district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
-
A.
Geinsheim
Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
-
B.
Freiolsheim
Freiolsheim is a village and district of the town of Gaggenau in the Rastatt district of Baden-Württemberg, Germany.
-
C.
Vendenheim
Vendenheim is a commune in northeastern France near Strasbourg, known as a regional transport hub and suburban residential area.
-
D.
Igersheim
Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
-
E.
Diedelsheim
chosen
Diedelsheim is a district of the town of Bretten in the state of Baden-Württemberg in southwestern Germany.
- F. None of above.
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_69d933f2d9e48190a4c5d5d5bdc0d7d8 |
completed | April 10, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69d938c697f481908a93296ee7f82eae |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d940176c988190b7583ce9f2c21898 |
completed | April 10, 2026, 6:23 p.m. |
Created at: April 6, 2026, 12:28 p.m.