Triple
T14755687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schottenstift |
E346722
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Freyung square |
E1118826
|
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: Freyung square | Statement: [Schottenstift, locatedOn, Freyung square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freyung square Context triple: [Schottenstift, locatedOn, Freyung square]
-
A.
Freyung square
chosen
Freyung square is a historic public square in Vienna’s city center, known for its palaces, churches, and traditional markets.
-
B.
Weinmarkt square
Weinmarkt square is a historic market square in the medieval town of Dinkelsbühl, Germany, known for its well-preserved half-timbered houses and traditional townscape.
-
C.
Kröpcke square
Kröpcke square is a central pedestrian plaza and major transport hub in Hanover, Germany, known for its busy shopping area and iconic clock.
-
D.
Hauptwache square
Hauptwache square is a central and historic public square in Frankfurt am Main, Germany, known as a major transportation hub and popular shopping and meeting area.
-
E.
Charles Square
Charles Square is one of the largest historic squares in Prague, serving as a major public space and transport hub in the city’s New Town.
- 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_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38894a2481908dd219ecaa7f3a3c |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:30 a.m.