Triple
T6115385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pińczów County |
E136347
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Pińczów |
E210802
|
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: Pińczów | Statement: [Pińczów County, seat, Pińczów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pińczów Context triple: [Pińczów County, seat, 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.
Czernichów
Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
-
C.
Suchedniów
Suchedniów is a small town in south-central Poland, known for its surrounding forests and lakes and its location within the Świętokrzyskie Voivodeship.
-
D.
Puławy
Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
-
E.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6789ec081909b051b8ce1bde35d |
completed | April 2, 2026, 3:46 a.m. |
Created at: March 22, 2026, 4:14 p.m.