Triple
T20671359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vive Kielce |
E508030
|
entity |
| Predicate | homeVenueLocation |
P19090
|
FINISHED |
| Object | Kielce, Poland |
—
|
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: Kielce, Poland | Statement: [Vive Kielce, homeVenueLocation, Kielce, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kielce, Poland Context triple: [Vive Kielce, homeVenueLocation, Kielce, Poland]
-
A.
Kielce
chosen
Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
-
B.
Kozienice, Poland
Kozienice is a historic town in east-central Poland known for its location along the Vistula River and proximity to the Kozienice Landscape Park.
-
C.
Tychy, Poland
Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
-
D.
Mielec, Poland
Mielec, Poland is an industrial city in southeastern Poland known for its aviation industry and aircraft manufacturing heritage.
-
E.
Niepokalanów, Poland
Niepokalanów, Poland is a Roman Catholic monastery complex founded by Saint Maximilian Kolbe that became one of the largest Franciscan religious communities and publishing centers in the world before World War II.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c92aa8819096fbe0ca5101d01b |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.