Triple

T17507346
Position Surface form Disambiguated ID Type / Status
Subject Schuylkill Valley E426355 entity
Predicate contains P35 FINISHED
Object Schuylkill Haven 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: Schuylkill Haven | Statement: [Schuylkill Valley, contains, Schuylkill Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schuylkill Haven
Context triple: [Schuylkill Valley, contains, Schuylkill Haven]
  • A. Schuylkill Haven, Pennsylvania chosen
    Schuylkill Haven, Pennsylvania is a small borough in eastern Pennsylvania known historically as a canal and railroad town along the Schuylkill River.
  • B. Mattersburg
    Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
  • C. Paoli
    Paoli is an Italian surname most notably associated with Corsican patriot and leader Pasquale Paoli and his influential family.
  • D. New London, Pennsylvania
    New London, Pennsylvania is a small rural community in Chester County known historically as the home of the New London Academy, one of the region’s early educational institutions.
  • E. Quakertown, Pennsylvania
    Quakertown, Pennsylvania is a small borough in Bucks County known as a regional commercial hub with historic roots and convenient access to major routes between Philadelphia and the Lehigh Valley.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45258b73c81909db581d4f1d27921 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.