Triple

T16247747
Position Surface form Disambiguated ID Type / Status
Subject Holmby Hills E394418 entity
Predicate borderedBy P224 FINISHED
Object Bel Air E123864 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: Bel Air | Statement: [Holmby Hills, borderedBy, Bel Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bel Air
Context triple: [Holmby Hills, borderedBy, Bel Air]
  • A. Bel Air
    Bel Air is a small historic town in Harford County, Maryland, serving as the county seat and regional center for government, commerce, and culture.
  • B. Bel Air
    Bel Air is a historic plantation estate in the United States, notable for its preserved architecture and ties to the region’s antebellum agricultural history.
  • C. Bel Air chosen
    Bel Air is an affluent residential neighborhood on Los Angeles’s Westside, known for its large estates, exclusivity, and celebrity residents.
  • D. Haddon Heights
    Haddon Heights is a small suburban borough in southern New Jersey known for its historic homes, tree-lined streets, and close-knit community.
  • E. Jefferson Hills
    Jefferson Hills is a suburban borough in Allegheny County, Pennsylvania, located in the South Hills region near Pittsburgh.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245942460819080897afad0d2fe09 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee3bbc48190a56ce2807a9510f0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.