Triple

T6308487
Position Surface form Disambiguated ID Type / Status
Subject Czchów Lake E141437 entity
Predicate locatedNear P294 FINISHED
Object Czchów E527239 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: Czchów | Statement: [Czchów Lake, locatedNear, Czchów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czchów
Context triple: [Czchów Lake, locatedNear, Czchów]
  • A. Czchów chosen
    Czchów is a small historic town in southern Poland, known for its medieval castle ruins and picturesque location on the Dunajec River.
  • 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. Haczów
    Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
  • D. 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.
  • E. Chrzanów
    Chrzanów is a town in southern Poland known for its historical architecture and role as a local industrial and administrative 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d076fe8448819087e12ffe4d5bdf3c completed April 4, 2026, 2:27 a.m.
Created at: March 22, 2026, 4:28 p.m.