Triple

T17531677
Position Surface form Disambiguated ID Type / Status
Subject Vác E426950 entity
Predicate locatedIn P40 FINISHED
Object Pest County 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: Pest County | Statement: [Vác, locatedIn, Pest County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pest County
Context triple: [Vác, locatedIn, Pest County]
  • A. Pest County chosen
    Pest County is a large administrative region in central Hungary that surrounds the capital city of Budapest and serves as a major economic and transportation hub.
  • B. Mosquito County
    Mosquito County was a large early 19th-century county in territorial Florida that once encompassed much of what is now central Florida before being renamed and subdivided.
  • C. Big County
    Big County is the nickname of Perthshire, a large historic county in central Scotland known for its expansive rural landscapes and scenic beauty.
  • D. Rypin County
    Rypin County is a historical administrative district in Poland that existed within the interwar Warsaw Voivodeship.
  • E. Waradgery County
    Waradgery County is a cadastral division in New South Wales, Australia, used for land administration and property title purposes.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453695734819092d4dcbab4a4fa01 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.