Triple

T20305429
Position Surface form Disambiguated ID Type / Status
Subject Shenango Valley E505597 entity
Predicate containsSettlement P847 FINISHED
Object Farrell, Pennsylvania E640974 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: Farrell, Pennsylvania | Statement: [Shenango Valley, containsSettlement, Farrell, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farrell, Pennsylvania
Context triple: [Shenango Valley, containsSettlement, Farrell, Pennsylvania]
  • A. Farrell, Pennsylvania chosen
    Farrell, Pennsylvania is a small industrial city in western Pennsylvania known for its steel manufacturing history and location within the Shenango Valley.
  • B. Waterford, Pennsylvania
    Waterford, Pennsylvania is a small historic borough in northwestern Pennsylvania known for its early American heritage and proximity to the city of Erie.
  • C. Ruffsdale, Pennsylvania
    Ruffsdale, Pennsylvania is a small unincorporated community located in Westmoreland County in the southwestern part of the state.
  • D. Lucerne, Pennsylvania
    Lucerne, Pennsylvania is a small unincorporated community located within the Ligonier Valley region of Pennsylvania.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773f8f688190b616f972b9bbb28e completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08611c2f248190bf7c69536022ee8a completed May 16, 2026, 12:20 p.m.
Created at: April 16, 2026, 11:18 a.m.