Triple

T19841686
Position Surface form Disambiguated ID Type / Status
Subject Lipany E476746 entity
Predicate locatedIn P40 FINISHED
Object Sabinov District 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: Sabinov District | Statement: [Lipany, locatedIn, Sabinov District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabinov District
Context triple: [Lipany, locatedIn, Sabinov District]
  • A. Sabinov District chosen
    Sabinov District is an administrative district in northeastern Slovakia known for its small towns and rural landscapes in the Prešov Region.
  • B. Presnensky District
    Presnensky District is a central Moscow district known for its business centers, cultural landmarks, and proximity to major government and commercial hubs.
  • C. Sokol District
    Sokol District is a residential and historically significant administrative district in Moscow, Russia, known for its early 20th-century architecture and green, park-filled neighborhoods.
  • D. Gdovsky District
    Gdovsky District is an administrative and municipal district in western Russia known for its location within Pskov Oblast near Lake Peipus and the Estonian border.
  • E. Chaunsky District
    Chaunsky District is an administrative district in Russia’s Chukotka Autonomous Okrug, known for encompassing the Arctic port town of Pevek.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65806375c8190a4f45f14aeb06515 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.