Triple
T13358066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallendar |
E318745
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Czernichów |
—
|
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: Czernichów | Statement: [Vallendar, twinTown, Czernichów]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czernichów Context triple: [Vallendar, twinTown, Czernichów]
-
A.
Czernichów
chosen
Czernichów is a village in southern Poland that serves as the seat of its namesake rural administrative district within the Kraków metropolitan area.
-
B.
Czchów
Czchów is a small historic town in southern Poland, known for its medieval castle ruins and picturesque location on the Dunajec River.
-
C.
Czorsztyn
Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
-
D.
Chojnów
Chojnów is a historic town in southwestern Poland, known for its medieval origins and long association with the Silesian Piast dynasty.
-
E.
Czersk
Czersk is a town in northern Poland known for its location in the Pomeranian Voivodeship and its historical ties to regional noble lineages.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 9, 2026, 9:32 p.m.