Triple

T11927285
Position Surface form Disambiguated ID Type / Status
Subject Nolita E283814 entity
Predicate borderedBy P224 FINISHED
Object NoHo E132567 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: NoHo | Statement: [Nolita, borderedBy, NoHo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NoHo
Context triple: [Nolita, borderedBy, NoHo]
  • A. NoHo chosen
    NoHo is a small, upscale neighborhood in Lower Manhattan known for its historic cast-iron architecture, converted lofts, and vibrant arts and dining scene.
  • B. NoHo
    NoHo is a vibrant arts and entertainment district in the North Hollywood neighborhood of Los Angeles known for its theaters, galleries, and creative community.
  • C. SoHo
    SoHo is a vibrant commercial and entertainment district in Hong Kong known for its trendy restaurants, bars, and nightlife.
  • D. SoHo
    SoHo is a fashionable Lower Manhattan neighborhood known for its cast-iron architecture, art galleries, and upscale boutiques.
  • E. Mosaic District
    Mosaic District is a mixed-use urban neighborhood and shopping destination in Merrifield, Virginia, known for its upscale retail, dining, entertainment, and walkable, community-focused design.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e3ff308190851ce656286bc67e completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440525e9881909b21df139d97d986 completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.