Triple
T19592434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiergarten tunnel |
E470268
|
entity |
| Predicate | traverses |
P416
|
FINISHED |
| Object | Tiergarten district |
E969788
|
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: Tiergarten district | Statement: [Tiergarten tunnel, traverses, Tiergarten district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiergarten district Context triple: [Tiergarten tunnel, traverses, Tiergarten district]
-
A.
Tiergarten district
chosen
Tiergarten district is a central Berlin borough known for its expansive Tiergarten park, government buildings, and cultural landmarks.
-
B.
Schöneberg district
Schöneberg district is a central borough of Berlin, Germany, known for its vibrant cultural scene, historical significance, and diverse urban neighborhoods.
-
C.
Charlottenburg
Charlottenburg is a historic district in western Berlin, Germany, known for its baroque Charlottenburg Palace and role as a former independent city before incorporation into Berlin.
-
D.
Nollendorfplatz area
The Nollendorfplatz area is a lively Berlin neighborhood known for its historic square, vibrant LGBTQ+ scene, and mix of nightlife, cafés, and cultural venues.
-
E.
Bornheim Mitte
Bornheim Mitte is a central public transit station in Frankfurt’s Bornheim district, serving as a key stop on the city’s U-Bahn network.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64057460c8190962e2e58f06b3985 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089399e7b88190864e9000384d098f |
completed | May 16, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.