Triple
T21182376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | south-central Poland |
E521983
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | city of Pińczów |
—
|
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: city of Pińczów | Statement: [south-central Poland, contains, city of Pińczów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Pińczów Context triple: [south-central Poland, contains, city of Pińczów]
-
A.
Pińczów
chosen
Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
-
B.
Kamieniec Ząbkowicki
Kamieniec Ząbkowicki is a village in southwestern Poland known for its historic palace complex and role as a regional railway junction.
-
C.
Kozienice
Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
-
D.
Zamość
Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
-
E.
Piotrków Trybunalski
Piotrków Trybunalski is a historic city in central Poland known for its medieval heritage and former role as a royal and parliamentary center.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.