Triple

T12097547
Position Surface form Disambiguated ID Type / Status
Subject Ate District E288108 entity
Predicate isPartOf P10 FINISHED
Object eastern Lima E94131 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: eastern Lima | Statement: [Ate District, isPartOf, eastern Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eastern Lima
Context triple: [Ate District, isPartOf, eastern Lima]
  • A. eastern Lima chosen
    Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
  • B. Lima, Ohio
    Lima, Ohio is a small Midwestern city best known in popular culture as the hometown setting of the television series "Glee."
  • C. Town of Lima
    The Town of Lima is a small rural municipality in western New York State known for its historic village center and agricultural surroundings.
  • D. Lima, Illinois
    Lima, Illinois is a small rural village located in Adams County in western Illinois, near the Mississippi River.
  • E. Limaville, Ohio
    Limaville, Ohio is a small unincorporated community and census-designated place located in northeastern Ohio within Stark County.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91552645c81909aff601ab3d3c0e6 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6708f8881909c4f40a466bc0acf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.