Triple
T3252785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Road (Große Straße) |
E68220
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Große Straße |
E68220
|
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: Große Straße | Statement: [Great Road (Große Straße), hasNameInGerman, Große Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Große Straße Context triple: [Great Road (Große Straße), hasNameInGerman, Große Straße]
-
A.
Breite Straße
Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
-
B.
Rämistrasse
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
-
C.
Great Road (Große Straße)
chosen
The Great Road (Große Straße) is a monumental, 2-kilometer-long granite parade avenue in Nuremberg, Germany, built during the Nazi era as part of the Nazi Party Rally Grounds.
-
D.
Seestraße
Seestraße is a Berlin U-Bahn station on the U6 line located in the Wedding district of the city.
-
E.
Hauptallee
Hauptallee is the broad, tree-lined main avenue running through Vienna’s Prater park, popular for walking, cycling, and recreational activities.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf440bb88190a2450405afae7f1f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ec4375881908d7f22ef4a80b60c |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:09 p.m.