Triple
T12453963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alte Nikolaikirche |
E297605
|
entity |
| Predicate | locatedOnSquare |
P40
|
FINISHED |
| Object | Römerberg |
E61696
|
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: Römerberg | Statement: [Alte Nikolaikirche, locatedOnSquare, Römerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Römerberg Context triple: [Alte Nikolaikirche, locatedOnSquare, Römerberg]
-
A.
Römerberg
chosen
Römerberg is the historic central square of Frankfurt am Main, known for its medieval-style buildings, city hall (Römer), and role as a focal point for public events and tourism.
-
B.
Römerberg square
Römerberg square is the historic central square of Frankfurt’s old town, renowned for its medieval-style buildings, city hall complex (Römer), and role as a traditional site for markets and public events.
-
C.
Kammerhof
Kammerhof is a historic mining administration building and museum in Banská Štiavnica, Slovakia, showcasing the town’s rich mining heritage.
-
D.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
E.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.