Triple

T4060027
Position Surface form Disambiguated ID Type / Status
Subject King Łokietek’s Cave E86187 entity
Predicate locatedNear P294 FINISHED
Object Ojców E91839 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: Ojców | Statement: [King Łokietek’s Cave, locatedNear, Ojców]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ojców
Context triple: [King Łokietek’s Cave, locatedNear, Ojców]
  • A. Ojców chosen
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • C. Opatów
    Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd32c0c8190bc575974ccf831b3 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf36a45c81909f5161f30e970fef completed March 23, 2026, 4:19 a.m.
Created at: March 9, 2026, 3:38 p.m.