Triple
T14755147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landstraße |
E346710
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Landstraßer Hauptstraße |
E550524
|
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: Landstraßer Hauptstraße | Statement: [Landstraße, contains, Landstraßer Hauptstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landstraßer Hauptstraße Context triple: [Landstraße, contains, Landstraßer Hauptstraße]
-
A.
Landstraßer Hauptstraße
chosen
Landstraßer Hauptstraße is a major shopping and traffic artery in Vienna’s 3rd district, known for its mix of historic buildings, retail stores, and local services.
-
B.
Langenstraße
Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, Germany.
-
C.
Rathausstraße
Rathausstraße is a central street in Berlin’s Mitte district, known for running past the historic Rotes Rathaus (Berlin City Hall) near Alexanderplatz.
-
D.
Bolkerstraße
Bolkerstraße is a historic and lively street in Düsseldorf’s Altstadt, known for its dense concentration of bars, restaurants, and nightlife.
-
E.
Neuhauser Straße
Neuhauser Straße is a major pedestrian shopping street in Munich’s city center, known for its historic buildings, retail stores, and role as part of the main east–west thoroughfare.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef885b07c8190af5e33303af9fbea |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 1:30 a.m.