Triple
T1439327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkpoint Charlie |
E31032
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kochstraße |
E71197
|
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: Kochstraße | Statement: [Checkpoint Charlie, near, Kochstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kochstraße Context triple: [Checkpoint Charlie, near, Kochstraße]
-
A.
Kochstraße
chosen
Kochstraße is a Berlin U-Bahn station on line U6 located near Checkpoint Charlie in the central district of Kreuzberg.
-
B.
Bad Tölz
Bad Tölz is a Bavarian spa town in southern Germany known for its historic old town, alpine scenery, and traditional German architecture.
-
C.
Waidmannslust
Waidmannslust is a residential locality in the Reinickendorf borough of Berlin, Germany, known for its green spaces and suburban character.
-
D.
Bad Mergentheim
Bad Mergentheim is a historic spa town in the German state of Baden-Württemberg, renowned for its mineral springs and picturesque setting in the Tauber Valley.
-
E.
Unter den Linden
Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c506d5ac8190b4c5b394c6d3f414 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ba2cf88190a859bb0974761968 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.