Triple
T14011965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Beskids |
E337102
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Wadowice |
—
|
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: Wadowice | Statement: [Little Beskids, hasTown, Wadowice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadowice Context triple: [Little Beskids, hasTown, Wadowice]
-
A.
Wadowice
chosen
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
B.
Otwock
Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
-
C.
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.
-
D.
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.
-
E.
Kozienice
Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
Created at: April 9, 2026, 10:19 p.m.