Triple

T4369177
Position Surface form Disambiguated ID Type / Status
Subject Downtown Homewood E98852 entity
Predicate partOf P40 FINISHED
Object City of Homewood E427100 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: City of Homewood | Statement: [Downtown Homewood, partOf, City of Homewood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Homewood
Context triple: [Downtown Homewood, partOf, City of Homewood]
  • A. City of Homewood chosen
    The City of Homewood is a suburban municipality in Jefferson County, Alabama, located just south of Birmingham and known for its residential neighborhoods, schools, and local commercial districts.
  • B. Downtown Homewood
    Downtown Homewood is the central commercial and social hub of Homewood, Alabama, known for its walkable streets, local shops, and restaurants.
  • C. Homewood
    Homewood is a historic neighborhood in Pittsburgh, Pennsylvania, known for its predominantly African American community and significant cultural and social history.
  • D. Walton Hills
    Walton Hills is a small suburban village in northeastern Ohio known for its residential character and proximity to the Cleveland metropolitan area.
  • E. Galewood
    Galewood is a neighborhood on Chicago’s Northwest Side that is served by a station on Metra’s Milwaukee District West Line.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352052b388190b02cca9a3b480be4 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbd1646c8190b7db5d9a9445633c completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.