Triple

T2098862
Position Surface form Disambiguated ID Type / Status
Subject Laurel Highlands E37045 entity
Predicate contains P35 FINISHED
Object Uniontown E36837 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: Uniontown | Statement: [Laurel Highlands, contains, Uniontown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uniontown
Context triple: [Laurel Highlands, contains, Uniontown]
  • A. Lastoursville
    Lastoursville is a town in central Gabon known as a regional hub along the Trans-Gabon Railway and for its nearby cave systems and karst landscapes.
  • B. Union Town chosen
    Union Town was the original name given to what is now Uniontown, Pennsylvania, a historic city in Fayette County known for its role in early American frontier and industrial development.
  • C. Masontown, Pennsylvania
    Masontown, Pennsylvania is a small borough in southwestern Pennsylvania known historically as a coal-mining and industrial community along the Monongahela River.
  • D. Union Village
    Union Village is a small historic village located within Providence County in the U.S. state of Rhode Island.
  • E. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9de75c81909770409b5ae62c24 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f72ad8c81909da734f6316f747f completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:43 p.m.