Triple
T3436010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alt-Tempelhof |
E72452
|
entity |
| Predicate | hasEntranceFrom |
P1985
|
FINISHED |
| Object | Tempelhofer Damm |
E302135
|
NE FINISHED |
How this triple was built (2 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: Tempelhofer Damm | Statement: [Alt-Tempelhof, hasEntranceFrom, Tempelhofer Damm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempelhofer Damm Context triple: [Alt-Tempelhof, hasEntranceFrom, Tempelhofer Damm]
-
A.
Tempelhofer Damm
chosen
Tempelhofer Damm is a major thoroughfare in Berlin’s Tempelhof district, running alongside the former Tempelhof Airport and connecting central Berlin with the city’s southern suburbs.
-
B.
Sorpedamm
Sorpedamm is a reservoir dam in North Rhine-Westphalia, Germany, primarily used for water supply, flood control, and recreation.
-
C.
Mehringdamm
Mehringdamm is a Berlin U-Bahn station in the Kreuzberg district that serves as an interchange between lines U6 and U7.
-
D.
Oranienburger Straße
Oranienburger Straße is a well-known street in central Berlin, Germany, noted for its historic architecture, vibrant nightlife, and cultural landmarks such as the New Synagogue.
-
E.
Chausseestraße
Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b5335e1e348190912455cd90009558 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 8, 2026, 3:16 p.m.