Triple

T4254794
Position Surface form Disambiguated ID Type / Status
Subject Szentendre E95946 entity
Predicate locatedIn P40 FINISHED
Object Pest County E234839 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: Pest County | Statement: [Szentendre, locatedIn, Pest County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pest County
Context triple: [Szentendre, 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. Pest Plain
    Pest Plain is the flat, densely built-up eastern part of Budapest, known as the city’s main commercial and administrative area.
  • D. Yancowinna County
    Yancowinna County is a cadastral division in far western New South Wales, Australia, that includes the city of Broken Hill and surrounding areas.
  • E. County of Buren
    The County of Buren was a historic territorial lordship in the Low Countries, centered on the town of Buren in present-day Netherlands and notable for its noble families and later connection to the Dutch royal house.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a887703c81909a40f23f83154b8c completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.