Triple
T6169330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kremówka papieska |
E137650
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Wadowice |
E25798
|
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: Wadowice | Statement: [kremówka papieska, associatedWith, Wadowice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadowice Context triple: [kremówka papieska, associatedWith, Wadowice]
-
A.
Wadowice
chosen
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
B.
Wyszogród
Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
-
C.
Krotoszyn
Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
-
D.
Skierniewice
Skierniewice is a historic city in central Poland known for its horticultural research center and annual Skierniewice Fruit and Vegetable Festival.
-
E.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8de56481909583104c70a52616 |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9fc6bff48190b2f73e4c8c8b627a |
completed | April 3, 2026, 11:08 a.m. |
Created at: March 22, 2026, 4:18 p.m.