Triple
T13204998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rämistrasse |
E314336
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Rämistrasse (German) |
E314336
|
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: Rämistrasse (German) | Statement: [Rämistrasse, hasNameInLanguage, Rämistrasse (German)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rämistrasse (German) Context triple: [Rämistrasse, hasNameInLanguage, Rämistrasse (German)]
-
A.
Rämistrasse
chosen
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
-
B.
Langenstraße
Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, Germany.
-
C.
Leni-Rommel-Straße
Leni-Rommel-Straße is a street located in Dortmund, Germany, situated near Strobelallee and the city’s sports and event facilities.
-
D.
Ratinger Straße
Ratinger Straße is a historic and lively street in Düsseldorf’s Altstadt, known for its traditional pubs, nightlife, and preserved old-town atmosphere.
-
E.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60eee288190bdb3ed6110394e48 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.