Triple
T9470842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willy-Brandt-Platz station |
E228383
|
entity |
| Predicate | nearbyAttraction |
P3449
|
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: [Willy-Brandt-Platz station, nearbyAttraction, Römerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Römerberg Context triple: [Willy-Brandt-Platz station, nearbyAttraction, 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.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
E.
Burgplatz
Burgplatz is a historic central square in Düsseldorf’s Old Town, known for its riverside location on the Rhine and remnants of the former city castle.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fee13a88190b4532fb92ddaf401 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.