Triple
T8475595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Königsbau |
E200382
|
entity |
| Predicate | facing |
P1699
|
FINISHED |
| Object | Max-Joseph-Platz |
E738335
|
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: Max-Joseph-Platz | Statement: [Königsbau, facing, Max-Joseph-Platz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max-Joseph-Platz Context triple: [Königsbau, facing, Max-Joseph-Platz]
-
A.
Max-Joseph-Platz
chosen
Max-Joseph-Platz is a prominent square in central Munich, Germany, known for its grand architecture and as the site of the Bavarian State Opera and the Residenz.
-
B.
Max-Josefs-Platz
Max-Josefs-Platz is a historic central square in Rosenheim, Germany, known for its picturesque old-town architecture, shops, and cafés.
-
C.
Viktoria-Luise-Platz
Viktoria-Luise-Platz is a historic, park-like square and U-Bahn station area in Berlin known for its distinctive circular layout and surrounding early 20th-century architecture.
-
D.
Kurt-Schumacher-Platz
Kurt-Schumacher-Platz is an underground station on Berlin’s U-Bahn network serving the Reinickendorf district in the north of the city.
-
E.
Reinhold Platz
Reinhold Platz was a German aircraft designer best known for his work with Fokker during World War I, contributing to several innovative fighter aircraft.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f89e0081909e74beb7c8f55653 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88c89a9081908445bbc531f500c9 |
completed | April 2, 2026, 3:18 p.m. |
Created at: March 30, 2026, 6:12 p.m.