Triple

T15371887
Position Surface form Disambiguated ID Type / Status
Subject Mount Davis E367567 entity
Predicate near P350 FINISHED
Object Salisbury, Pennsylvania E410216 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: Salisbury, Pennsylvania | Statement: [Mount Davis, near, Salisbury, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salisbury, Pennsylvania
Context triple: [Mount Davis, near, Salisbury, Pennsylvania]
  • A. Salisbury, Pennsylvania chosen
    Salisbury, Pennsylvania is a small borough in Somerset County best known as the closest town to Mount Davis, the highest point in Pennsylvania.
  • B. 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.
  • C. Springfield, Pennsylvania
    Springfield, Pennsylvania is a township in Delaware County best known as the birthplace of renowned 18th-century painter Benjamin West.
  • D. Saxton, Pennsylvania
    Saxton, Pennsylvania is a small borough in south-central Pennsylvania known historically for its role in the region’s coal and railroad industries.
  • E. Northampton, Pennsylvania
    Northampton, Pennsylvania is a small borough in the Lehigh Valley region known historically for its cement industry and residential community character.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8757325c8190ad97f50368862ca5 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 3:18 a.m.