Triple

T6640274
Position Surface form Disambiguated ID Type / Status
Subject Lake Charzykowskie E150569 entity
Predicate locatedNear P294 FINISHED
Object Chojnice E229417 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: Chojnice | Statement: [Lake Charzykowskie, locatedNear, Chojnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chojnice
Context triple: [Lake Charzykowskie, locatedNear, Chojnice]
  • A. Chojnice chosen
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • B. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • C. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • D. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • E. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff42c748190b818cf55f83647cb completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4eae224cc8190ac596ff9f8921cda completed April 7, 2026, 11:30 a.m.
Created at: March 27, 2026, 2 p.m.