Triple
T5445329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Kraków |
E122234
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Florian Gate |
E84109
|
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: Florian Gate | Statement: [Old Town of Kraków, hasPart, Florian Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Gate Context triple: [Old Town of Kraków, hasPart, Florian Gate]
-
A.
Florian Gate
chosen
Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
-
B.
Kröpeliner Tor
Kröpeliner Tor is a historic medieval city gate and prominent architectural landmark in the German city of Rostock.
-
C.
Londorossi Gate
Londorossi Gate is a primary western entrance and registration point to Mount Kilimanjaro National Park, commonly used by climbers beginning the Lemosho Route.
-
D.
Hallesches Tor
Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
-
E.
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.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ce3e4081908e11a731416c0378 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413573c08190beae400c485d2132 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.