Triple
T8031547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkeplatz |
E186993
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object | Brückenstraße |
E52499
|
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: Brückenstraße | Statement: [Falkeplatz, hasNearbyStreet, Brückenstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brückenstraße Context triple: [Falkeplatz, hasNearbyStreet, Brückenstraße]
-
A.
Brückenstraße
chosen
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
B.
Breite Straße
Breite Straße is a historic main street in the medieval town of Goslar, Germany, known for its traditional half-timbered houses and central role in the old town.
-
C.
Breite Straße
Breite Straße is a historic main street in the former city of Cölln, now part of central Berlin, known for its role in the early urban development of the area.
-
D.
Rosenbergstraße
Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
-
E.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecc7c7f08190981e00342325a6da |
completed | April 1, 2026, 10 a.m. |
Created at: March 30, 2026, 5:22 p.m.