Triple
T14012981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oranienburger Vorstadt |
E337132
|
entity |
| Predicate | streetContained |
P17242
|
FINISHED |
| Object | Torstraße |
E1055881
|
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: Torstraße | Statement: [Oranienburger Vorstadt, streetContained, Torstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torstraße Context triple: [Oranienburger Vorstadt, streetContained, Torstraße]
-
A.
Torstraße
chosen
Torstraße is a major street in central Berlin, Germany, known for its mix of historic architecture, shops, restaurants, and nightlife.
-
B.
Salzstraße
Salzstraße is a historic street in Münster, Germany, known as one of the city’s traditional merchant and baroque thoroughfares.
-
C.
Landstraße
Landstraße is Vienna’s 3rd municipal district, a central urban area known for its mix of historic architecture, embassies, and major transport hubs.
-
D.
Via Turonensis
Via Turonensis is one of the main French pilgrimage routes of the Camino de Santiago, traditionally starting in Paris and passing through Tours on its way to Spain.
-
E.
Berlin Turnpike
The Berlin Turnpike is a major commercial and transportation corridor in central Connecticut known for its dense strip of businesses, motels, and heavy traffic.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.