Triple

T3504444
Position Surface form Disambiguated ID Type / Status
Subject Western Kentucky E74040 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Pennyrile E280158 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: Pennyrile | Statement: [Western Kentucky, hasCulturalRegion, Pennyrile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pennyrile
Context triple: [Western Kentucky, hasCulturalRegion, Pennyrile]
  • A. Monongahela, Pennsylvania
    Monongahela, Pennsylvania is a small city along the Monongahela River in southwestern Pennsylvania known for its historic downtown and riverfront community.
  • B. Latrobe
    Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
  • C. Latrobe
    Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
  • D. Ligonier
    Ligonier is a small historic borough in Pennsylvania known for its picturesque town square, frontier-era fort, and role as a gateway to the Laurel Highlands region.
  • E. Pennyrile region chosen
    The Pennyrile region is a geographic area in southwestern Kentucky characterized by its rolling plateaus, karst landscapes, and agricultural communities.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.