Triple
T16483301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kölner Eisstadion an der Lentstraße |
E400375
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Lentstraße
Lentstraße is a street in Cologne, Germany, known for hosting the Kölner Eisstadion ice rink.
|
E1304210
|
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: Lentstraße | Statement: [Kölner Eisstadion an der Lentstraße, locatedIn, Lentstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lentstraße Context triple: [Kölner Eisstadion an der Lentstraße, locatedIn, Lentstraße]
-
A.
Burgstraße
Burgstraße is a historic street located in the Old Town (Altstadt) of Hanover, Germany, known for its traditional architecture and central location.
-
B.
Lange Straße
Lange Straße is a central street in Oldenburg, Germany, known as a main shopping thoroughfare and for landmarks such as the historic Lappan tower.
-
C.
Taubenstraße
Taubenstraße is a street in Hamburg, Germany, located in the St. Pauli district near the Reeperbahn and the Spielbudenplatz entertainment area.
-
D.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
-
E.
Elbestraße
Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
- 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: Lentstraße Triple: [Kölner Eisstadion an der Lentstraße, locatedIn, Lentstraße]
Generated description
Lentstraße is a street in Cologne, Germany, known for hosting the Kölner Eisstadion ice rink.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lentstraße Target entity description: Lentstraße is a street in Cologne, Germany, known for hosting the Kölner Eisstadion ice rink.
-
A.
Burgstraße
Burgstraße is a historic street located in the Old Town (Altstadt) of Hanover, Germany, known for its traditional architecture and central location.
-
B.
Lange Straße
Lange Straße is a central street in Oldenburg, Germany, known as a main shopping thoroughfare and for landmarks such as the historic Lappan tower.
-
C.
Taubenstraße
Taubenstraße is a street in Hamburg, Germany, located in the St. Pauli district near the Reeperbahn and the Spielbudenplatz entertainment area.
-
D.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
-
E.
Elbestraße
Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0420ac81908f9a3548ddb3b1ff |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03564e0d9c8190948d72ec5bca046c |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03598fb63c81908e50b0ff63fe2e95 |
completed | May 12, 2026, 4:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0359e4cf988190a0f0c496d3a84c53 |
completed | May 12, 2026, 4:48 p.m. |
Created at: April 10, 2026, 5:13 a.m.