Triple

T20534002
Position Surface form Disambiguated ID Type / Status
Subject Manorville E504143 entity
Predicate nearbySettlement P350 FINISHED
Object Ford City, Pennsylvania NE NERFINISHED

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: Ford City, Pennsylvania | Statement: [Manorville, nearbySettlement, Ford City, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford City, Pennsylvania
Context triple: [Manorville, nearbySettlement, Ford City, Pennsylvania]
  • A. Ford City chosen
    Ford City is a small borough in western Pennsylvania known historically as an industrial company town along the Allegheny River.
  • B. Ford City
    Ford City is a small unincorporated community located in Colbert County in northwestern Alabama, United States.
  • C. Youngstown, Pennsylvania
    Youngstown, Pennsylvania is a small unincorporated community and census-designated place in Westmoreland County, known for its location within the scenic Ligonier Valley region of southwestern Pennsylvania.
  • D. Delco Park
    Delco Park is a public recreational park located in Kettering, Ohio, featuring open green spaces, sports facilities, and community amenities.
  • E. Youngstown
    Youngstown is an industrial city in northeastern Ohio historically known for its steel production and central role in the Rust Belt’s economic rise and decline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06d30508190a13d1a9855b441fb completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.