Triple

T11763781
Position Surface form Disambiguated ID Type / Status
Subject Arfon E279725 entity
Predicate contains P35 FINISHED
Object Bethesda E266540 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: Bethesda | Statement: [Arfon, contains, Bethesda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bethesda
Context triple: [Arfon, contains, Bethesda]
  • A. Bethesda
    Bethesda is an affluent unincorporated community in Montgomery County, Maryland, known for its vibrant downtown, medical and research institutions, and proximity to Washington, D.C.
  • B. Bethesda chosen
    Bethesda is a village in Gwynedd, Wales, historically known for its slate quarrying industry and scenic location near Snowdonia.
  • C. Bethesda Row
    Bethesda Row is a popular mixed-use urban district in downtown Bethesda, Maryland, known for its upscale shops, restaurants, offices, and residential spaces.
  • D. Bethesda Orphan House
    Bethesda Orphan House is a historic 18th-century orphanage and charitable institution in Georgia, established as one of the earliest and most enduring social welfare projects in colonial America.
  • E. Bethesda central business district
    The Bethesda central business district is a major commercial and urban core in Bethesda, Maryland, known for its dense mix of offices, shops, restaurants, and residential developments.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5248e0881909ed1b4df7be422f7 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a570ca88190ba2f3791c0e0ba60 completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.