Triple

T8185999
Position Surface form Disambiguated ID Type / Status
Subject South Bohemian Region E191184 entity
Predicate containsTown P847 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: [South Bohemian Region, containsTown, Tábor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tábor
Context triple: [South Bohemian Region, containsTown, 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. Tuchkovo
    Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
  • C. Turośl
    Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
  • D. Turiec
    Turiec is a historical and geographical region in north-central Slovakia, known for its basin landscape surrounded by mountains and the town of Martin as its cultural center.
  • E. Taborio
    Taborio is a village settlement located on the island of Nonouti in the Republic of Kiribati.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf9a0e24819098f1693e78dc7445 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:41 p.m.