Triple
T3686003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spandau |
E78225
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gatow
Gatow is a village-like locality in southwestern Berlin known for its former airfield and proximity to the Havel River and surrounding green spaces.
|
E384682
|
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: Gatow | Statement: [Spandau, hasSubdivision, Gatow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatow Context triple: [Spandau, hasSubdivision, Gatow]
-
A.
Schkopau
Schkopau is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its large chemical industry complex.
-
B.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
C.
Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
-
D.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
E.
Frankfurt (Oder)
Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
- 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: Gatow Triple: [Spandau, hasSubdivision, Gatow]
Generated description
Gatow is a village-like locality in southwestern Berlin known for its former airfield and proximity to the Havel River and surrounding green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gatow Target entity description: Gatow is a village-like locality in southwestern Berlin known for its former airfield and proximity to the Havel River and surrounding green spaces.
-
A.
Schkopau
Schkopau is a municipality in the Saalekreis district of Saxony-Anhalt, Germany, known for its large chemical industry complex.
-
B.
Wandlitz
Wandlitz is a municipality in the German state of Brandenburg, known for its lakes, forests, and proximity to Berlin.
-
C.
Degendorf
Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
-
D.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
E.
Frankfurt (Oder)
Frankfurt (Oder) is a German city on the Oder River at the Polish border, known as a historic university and trade center in the state of Brandenburg.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c676748190b074abfb9ba43b49 |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4daffd6bc81908ac7a4b8b4073bc0 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4db9266f881908e31c7646b8c861c |
completed | March 14, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4df53bb648190af6507919fd4d59d |
completed | March 14, 2026, 4:08 a.m. |
Created at: March 8, 2026, 3:26 p.m.