Triple

T21197307
Position Surface form Disambiguated ID Type / Status
Subject Romuald Traugutt E522358 entity
Predicate residence P75 FINISHED
Object Krajno 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: Krajno | Statement: [Romuald Traugutt, residence, Krajno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krajno
Context triple: [Romuald Traugutt, residence, Krajno]
  • A. Krajno chosen
    Krajno is a village in south-central Poland located within the administrative district of Gmina Górno in the Świętokrzyskie region.
  • B. Krajna
    Krajna is a historical and ethnographic region in north-central Poland, known for its rural landscapes and mixed cultural influences from neighboring Polish regions.
  • C. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • D. Kamienna
    Kamienna is a river in south-central Poland that flows through the Świętokrzyskie region before joining the Vistula River.
  • E. Krbava
    Krbava is a historical region in central Croatia, known for its medieval significance and as a former frontier area between the Habsburg and Ottoman empires.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333c9bac8190a203802a8b8e4143 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:11 p.m.