Triple
T6133605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopoldstadt |
E136778
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Landstraße |
E346710
|
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: Landstraße | Statement: [Leopoldstadt, borderedBy, Landstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landstraße Context triple: [Leopoldstadt, borderedBy, Landstraße]
-
A.
Landstraße
chosen
Landstraße is Vienna’s 3rd municipal district, a central urban area known for its mix of historic architecture, embassies, and major transport hubs.
-
B.
Via Krupp
Via Krupp is a famous historic footpath on the Italian island of Capri, known for its dramatic series of hairpin bends carved into the cliffside overlooking the sea.
-
C.
Straße der Nationen
Straße der Nationen is a notable street in Chemnitz, Germany, known for its central location and proximity to educational and cultural institutions.
-
D.
Rämistrasse
Rämistrasse is a major street in central Zurich, Switzerland, known for hosting key university buildings and cultural institutions.
-
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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c7f34d081909e589b201b22be21 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135dcace481909b60c1816179f78a |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.