Triple
T19869535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieluń County |
E477475
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Wieluń |
—
|
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: Wieluń | Statement: [Wieluń County, capital, Wieluń]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wieluń Context triple: [Wieluń County, capital, Wieluń]
-
A.
Wieluń
chosen
Wieluń is a town in south-central Poland historically known as one of the first targets of German aerial bombardment at the start of World War II.
-
B.
Uniejów
Uniejów is a historic spa town in central Poland, known for its medieval castle and geothermal thermal baths.
-
C.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
D.
Wierzyca
Wierzyca is a river in northern Poland that flows through the Pomeranian region before joining the Wda and ultimately contributing to the Vistula river basin.
-
E.
Bukowiec
Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a2cc8481908d134b0b5cf79d06 |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.