Triple
T18707111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josefsplatz |
E457399
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Michaelerplatz |
—
|
NE NERFINISHED |
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: Michaelerplatz | Statement: [Josefsplatz, near, Michaelerplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaelerplatz Context triple: [Josefsplatz, near, Michaelerplatz]
-
A.
Michaelerplatz
chosen
Michaelerplatz is a historic square in central Vienna known for its imperial architecture, including the Hofburg Palace entrance and surrounding Baroque and neoclassical buildings.
-
B.
Schillerplatz
Schillerplatz is a prominent public square in Stuttgart, Germany, known for its historic buildings and central role in the city’s cultural and civic life.
-
C.
Mehringplatz
Mehringplatz is a historic circular square in Berlin’s Kreuzberg district, known for its postwar modernist housing complex and role as a major southern terminus of Friedrichstraße.
-
D.
Max-Josefs-Platz
Max-Josefs-Platz is a historic central square in Rosenheim, Germany, known for its picturesque old-town architecture, shops, and cafés.
-
E.
Martin-Luther-Platz
Martin-Luther-Platz is a central square in Dresden’s Neustadt district, known for its historic urban setting and proximity to notable civic and religious buildings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.