Triple
T16403807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (old town) of Nuremberg |
E398371
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Spittlertor |
E398367
|
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: Spittlertor | Statement: [Altstadt (old town) of Nuremberg, hasPart, Spittlertor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spittlertor Context triple: [Altstadt (old town) of Nuremberg, hasPart, Spittlertor]
-
A.
Spittlertor
chosen
Spittlertor is a historic city gate in Nuremberg, Germany, known as part of the medieval fortifications that once protected the old town.
-
B.
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.
-
C.
Schwabentor
Schwabentor is a historic medieval city gate in Freiburg im Breisgau, Germany, known as one of the city’s iconic architectural landmarks.
-
D.
Osthofentor
Osthofentor is a historic city gate in Soest, Germany, notable as one of the best-preserved remnants of the town’s medieval fortifications.
-
E.
Rieder Tor
Rieder Tor is a historic city gate in Donauwörth, Germany, and one of the town’s best-known architectural landmarks.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d12dc08190a5b497692b667ed7 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.