Triple

T787577
Position Surface form Disambiguated ID Type / Status
Subject Cynwyd Line E16838 entity
Predicate formerExtensionTo P1673 FINISHED
Object Norristown E35730 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: Norristown | Statement: [Cynwyd Line, formerExtensionTo, Norristown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norristown
Context triple: [Cynwyd Line, formerExtensionTo, Norristown]
  • A. Norristown chosen
    Norristown is a historic borough in Montgomery County, Pennsylvania, serving as a county seat and inner suburb within the greater Philadelphia metropolitan area.
  • B. Pottstown, Pennsylvania
    Pottstown, Pennsylvania is a historic borough in southeastern Pennsylvania known for its industrial heritage and location northwest of Philadelphia.
  • C. Langhorne
    Langhorne is the middle name of Samuel Langhorne Clemens, better known by his pen name Mark Twain, the famed American author and humorist.
  • D. Bensalem Township
    Bensalem Township is a suburban community in Bucks County, Pennsylvania, located just northeast of Philadelphia within its metropolitan area.
  • E. New Kensington, Pennsylvania
    New Kensington, Pennsylvania is a small industrial borough along the Allegheny River near Pittsburgh, historically known for aluminum production and manufacturing.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9e0f0081909d2a89387d6c08e1 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2578477c8190983de0a1065ad8ec completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:38 p.m.