Triple

T7023475
Position Surface form Disambiguated ID Type / Status
Subject CH postcode area E162884 entity
Predicate majorSortingOffice P38076 FINISHED
Object Chester E43299 NE FINISHED

How this triple was built (3 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: Chester | Statement: [CH postcode area, majorSortingOffice, Chester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chester
Context triple: [CH postcode area, majorSortingOffice, Chester]
  • A. Chester chosen
    Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
  • B. Chester
    Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
  • C. Chester
    Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
  • D. Chester
    Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
  • E. Town of Chester
    The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorSortingOffice
Context triple: [CH postcode area, majorSortingOffice, Chester]
  • A. mainOffice chosen
    Indicates that one location or office serves as the primary or central office for an organization or entity.
  • B. governingOffice
    Indicates the official position or office through which an entity exercises governing authority over a jurisdiction or organization.
  • C. reorganizedOfficeOf
    Indicates that one entity has restructured, reshaped, or otherwise reorganized the organizational structure or functions of another entity’s office.
  • D. submissionSortingOptions
    Indicates how submissions are ordered or prioritized according to specified sorting criteria.
  • E. respondentOffice
    Indicates the office or organizational unit that serves as the respondent in a given case, inquiry, or interaction.
  • F. None of above.

Provenance (4 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e5ecd4488190bf19e42de55da98b completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79439f28481909c028f4f86062b0f completed March 28, 2026, 8:41 a.m.
PD Predicate disambiguation batch_69c6e1b8118481909d76eb6616160e80 completed March 27, 2026, 7:59 p.m.
Created at: March 27, 2026, 2:35 p.m.