Triple
T14309070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzenbergplatz |
E354774
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Lothringerstraße |
E1037985
|
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: Lothringerstraße | Statement: [Schwarzenbergplatz, connectsWith, Lothringerstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lothringerstraße Context triple: [Schwarzenbergplatz, connectsWith, Lothringerstraße]
-
A.
Lothringerstraße
chosen
Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
-
B.
Spichernstraße
Spichernstraße is a Berlin U-Bahn station that serves as an interchange point on the city's underground network.
-
C.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Nürnberger Straße
Nürnberger Straße is a central Berlin street in the Schöneberg/Charlottenburg area, known for its proximity to major shopping and transport hubs like Wittenbergplatz and the Kurfürstendamm.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db810c481908dde925ff90f3fa0 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:12 a.m.