Triple
T3381503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wedding |
E71194
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Leopoldplatz |
E71403
|
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: Leopoldplatz | Statement: [Wedding, hasLandmark, Leopoldplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopoldplatz Context triple: [Wedding, hasLandmark, Leopoldplatz]
-
A.
Leopoldplatz
chosen
Leopoldplatz is a major public square and important transport hub in Berlin’s Wedding district, served by multiple U-Bahn lines and numerous bus routes.
-
B.
Schwarzenbergplatz
Schwarzenbergplatz is a prominent historic square in central Vienna, known for its monumental architecture, fountains, and memorials.
-
C.
Odeonsplatz
Odeonsplatz is a large historic square in central Munich, Germany, known for its grand architecture and role as a prominent cultural and political gathering place.
-
D.
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.
-
E.
Ballhausplatz
Ballhausplatz is a historic square in central Vienna that serves as the location of the Austrian Federal Chancellery and a key center of the country’s political administration.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb6f45ec8190835a8a68ffa99efc |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:14 p.m.