Triple
T657497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenfels |
E11679
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gartenstadt
Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
|
E87116
|
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: Gartenstadt | Statement: [Lichtenfels, hasSubdivision, Gartenstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gartenstadt Context triple: [Lichtenfels, hasSubdivision, Gartenstadt]
-
A.
Schöneberg
Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
-
B.
Alt-Mariendorf
Alt-Mariendorf is a Berlin U-Bahn station in the Mariendorf district that serves as the southern terminus of line U6.
-
C.
Dessau-Törten housing estate
The Dessau-Törten housing estate is a pioneering modernist residential development in Dessau, Germany, designed in the 1920s as a large-scale social housing project associated with the Bauhaus movement.
-
D.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
E.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
- 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: Gartenstadt Triple: [Lichtenfels, hasSubdivision, Gartenstadt]
Generated description
Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gartenstadt Target entity description: Gartenstadt is a residential district of the Upper Franconian town of Lichtenfels in Bavaria, Germany.
-
A.
Schöneberg
Schöneberg is a district of Berlin, Germany, historically notable as the site of John F. Kennedy’s famous “Ich bin ein Berliner” speech.
-
B.
Alt-Mariendorf
Alt-Mariendorf is a Berlin U-Bahn station in the Mariendorf district that serves as the southern terminus of line U6.
-
C.
Dessau-Törten housing estate
The Dessau-Törten housing estate is a pioneering modernist residential development in Dessau, Germany, designed in the 1920s as a large-scale social housing project associated with the Bauhaus movement.
-
D.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
E.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a63747e47481909877b49507b67c2c |
completed | March 3, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69a645cff2a481908aa0b0cfde78c929 |
completed | March 3, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64656026c8190834af887720f3a0a |
completed | March 3, 2026, 2:24 a.m. |
Created at: March 1, 2026, 7:36 p.m.