Triple
T15687446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fürstenberg/Havel |
E380238
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Barsdorf
Barsdorf is a small village and locality that forms part of the town of Fürstenberg/Havel in the German state of Brandenburg.
|
E1185718
|
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: Barsdorf | Statement: [Fürstenberg/Havel, hasSubdivision, Barsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barsdorf Context triple: [Fürstenberg/Havel, hasSubdivision, Barsdorf]
-
A.
Basdorf
Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
B.
Borsdorf
Borsdorf is a small municipality in the Leipzig district of Saxony, Germany, situated just east of Leipzig in a largely rural and suburban landscape.
-
C.
Biesdorf
Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
-
D.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
-
E.
Buchdorf
Buchdorf is a small municipality in the Donau-Ries district of Bavaria in southern 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: Barsdorf Triple: [Fürstenberg/Havel, hasSubdivision, Barsdorf]
Generated description
Barsdorf is a small village and locality that forms part of the town of Fürstenberg/Havel in the German state of Brandenburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barsdorf Target entity description: Barsdorf is a small village and locality that forms part of the town of Fürstenberg/Havel in the German state of Brandenburg.
-
A.
Basdorf
Basdorf is a village and district within the municipality of Wandlitz in the state of Brandenburg, Germany.
-
B.
Borsdorf
Borsdorf is a small municipality in the Leipzig district of Saxony, Germany, situated just east of Leipzig in a largely rural and suburban landscape.
-
C.
Biesdorf
Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
-
D.
Augustdorf
Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
-
E.
Buchdorf
Buchdorf is a small municipality in the Donau-Ries district of Bavaria in southern 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe650c8481909d1c1661b20eac73 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:44 a.m.