Triple

T3822953
Position Surface form Disambiguated ID Type / Status
Subject Sezimovo Ústí E88618 entity
Predicate locatedSouthOf P9676 FINISHED
Object Tábor E299973 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: Tábor | Statement: [Sezimovo Ústí, locatedSouthOf, Tábor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tábor
Context triple: [Sezimovo Ústí, locatedSouthOf, Tábor]
  • A. Tábor chosen
    Tábor is a historic Czech town best known as a major stronghold and center of the radical Hussite movement in the early 15th century.
  • B. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • C. Náchod
    Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
  • D. Říčany
    Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
  • E. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea63fe2c8190825f6e9451f6aa50 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4c70008190bb8712f46f40d6f8 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.