Triple
T19187813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgring |
E469749
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Burgtor |
—
|
NE NERFINISHED |
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: Burgtor | Statement: [Burgring, hasNearbyLandmark, Burgtor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burgtor Context triple: [Burgring, hasNearbyLandmark, Burgtor]
-
A.
Burgtor
chosen
Burgtor is a historic city gate in Lübeck, Germany, notable as part of the city’s medieval fortifications and Hanseatic architectural heritage.
-
B.
Stadttor
Stadttor is a prominent modern office and government building in Düsseldorf, Germany, known for its distinctive glass architecture and role as a landmark of the MedienHafen area.
-
C.
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.
-
D.
Carmental Gate
Carmental Gate was an ancient city gate in Rome’s early defensive walls, serving as a key western entrance near the Tiber and associated with important religious and historical traditions.
-
E.
Enderttor city gate
Enderttor city gate is a historic medieval gate and former fortification in the town of Cochem, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f89f3ebc8190ba01ae075ffc77df |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.