Triple

T9943957
Position Surface form Disambiguated ID Type / Status
Subject Lehigh Valley region E194154 entity
Predicate principalCity P3940 FINISHED
Object Allentown E360462 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: Allentown | Statement: [Lehigh Valley region, principalCity, Allentown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allentown
Context triple: [Lehigh Valley region, principalCity, Allentown]
  • A. Allentown
    "Allentown" is a 1982 Billy Joel song that portrays the struggles of American industrial towns facing factory closures and economic decline.
  • B. Allentown chosen
    Allentown is a major city in eastern Pennsylvania known for its industrial history and role within the Lehigh Valley metropolitan area.
  • C. Norristown
    Norristown is a historic borough in Montgomery County, Pennsylvania, serving as a county seat and inner suburb within the greater Philadelphia metropolitan area.
  • D. Scranton
    Scranton is a historic industrial city in northeastern Pennsylvania known for its coal-mining heritage, railroads, and role as a cultural and economic center of the region.
  • E. Wilkes-Barre
    Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb613fbb48190b82a06987310cc96 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d5095e08190a34ff73ab7bcf8a6 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:45 p.m.