Triple

T3447578
Position Surface form Disambiguated ID Type / Status
Subject Buda Hills E72713 entity
Predicate partOf 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: [Buda Hills, partOf, Pest County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pest County
Context triple: [Buda Hills, partOf, 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. 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.
  • E. Bong County
    Bong County is an inland administrative region of central Liberia known for its agricultural activities, mineral resources, and role as a significant battleground during the country’s civil conflicts.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba705d988190b76d905751a337ee completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e781a88190a4df2909f32c62ab completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.