Triple

T5825876
Position Surface form Disambiguated ID Type / Status
Subject KCH E129221 entity
Predicate region P40 FINISHED
Object southern Poland E70731 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: southern Poland | Statement: [KCH, region, southern Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Poland
Context triple: [KCH, region, southern Poland]
  • A. southern Poland chosen
    Southern Poland is a historical and geographical region of Poland characterized by its mountainous landscapes, rich cultural heritage, and major urban and industrial centers such as Kraków and Katowice.
  • B. southwestern Poland
    Southwestern Poland is a region of Poland that includes the historic city of Wrocław and surrounding areas near the Czech and German borders.
  • C. south-central Poland
    South-central Poland is a geographical region of Poland characterized by uplands, historic cities, and protected natural areas including Świętokrzyski National Park.
  • D. western Poland
    Western Poland is the western part of Poland, bordering Germany and the Czech Republic, known for its mix of historic cities, industrial centers, and post-World War II resettled regions.
  • E. northern Poland
    Northern Poland is a Baltic Sea–bordering region of Poland known for its coastal cities, ports, and maritime economy.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341caa70819087808564e16109b0 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0e85cbc8190ad75d4a8246fbe43 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:53 p.m.