Triple
T3435991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alt-Tempelhof |
E72452
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tempelhof
Tempelhof is a historic district in Berlin, Germany, best known for the former Tempelhof Airport and its vast airfield now used as a public park.
|
E381479
|
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: Tempelhof | Statement: [Alt-Tempelhof, locatedIn, Tempelhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempelhof Context triple: [Alt-Tempelhof, locatedIn, Tempelhof]
-
A.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
B.
Tegel
Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
-
C.
Alt-Tempelhof
Alt-Tempelhof is an underground station on Berlin’s U-Bahn network serving the Tempelhof district in the southern part of the city.
-
D.
Spandau
Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
-
E.
Schönefeld
Schönefeld is a municipality just southeast of Berlin in the German state of Brandenburg, known for hosting the Berlin Brandenburg Airport.
- 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: Tempelhof Triple: [Alt-Tempelhof, locatedIn, Tempelhof]
Generated description
Tempelhof is a historic district in Berlin, Germany, best known for the former Tempelhof Airport and its vast airfield now used as a public park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tempelhof Target entity description: Tempelhof is a historic district in Berlin, Germany, best known for the former Tempelhof Airport and its vast airfield now used as a public park.
-
A.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
B.
Tegel
Tegel is a locality in the Reinickendorf borough of Berlin, Germany, historically known for its manor associated with the Humboldt family and later for the former Berlin Tegel Airport.
-
C.
Alt-Tempelhof
Alt-Tempelhof is an underground station on Berlin’s U-Bahn network serving the Tempelhof district in the southern part of the city.
-
D.
Spandau
Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
-
E.
Schönefeld
Schönefeld is a municipality just southeast of Berlin in the German state of Brandenburg, known for hosting the Berlin Brandenburg Airport.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f2e4b4819085336fb539daf3c7 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdc9089481909e9ef5f5e7edeaa6 |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4cf5535748190b5dc3f23d1692e51 |
completed | March 14, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cfc29a18819087935c16f6ecd9e4 |
completed | March 14, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:16 p.m.