Triple
T16428544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frauentor |
E399009
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Königstor |
E1217728
|
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: Königstor | Statement: [Frauentor, hasNearbyPlace, Königstor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königstor Context triple: [Frauentor, hasNearbyPlace, Königstor]
-
A.
Königstor
chosen
Königstor is a historic city gate in Nuremberg, Germany, that forms part of the medieval fortifications surrounding the old town.
-
B.
Rieder Tor
Rieder Tor is a historic city gate in Donauwörth, Germany, and one of the town’s best-known architectural landmarks.
-
C.
Schottentor
Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
-
D.
Frauentor
Frauentor is a historic city gate in Nuremberg, Germany, notable as one of the main entrances through the medieval fortifications into the old town.
-
E.
Schlesisches Tor
Schlesisches Tor is a historic U-Bahn station and well-known urban landmark in Berlin’s Kreuzberg district, noted for its distinctive elevated railway architecture and vibrant surrounding nightlife.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fc223c8190bbed29907351a6f6 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758847948190b616cc85e208ee61 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:09 a.m.