Triple

T5958180
Position Surface form Disambiguated ID Type / Status
Subject NoHo E132567 entity
Predicate borderedBy P224 FINISHED
Object NoLita
NoLita is a fashionable, upscale neighborhood in Lower Manhattan known for its boutique shopping, trendy restaurants, and historic New York charm.
 E557702 NE FINISHED

How this triple was built (4 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: NoLita | Statement: [NoHo, borderedBy, NoLita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NoLita
Context triple: [NoHo, borderedBy, NoLita]
  • A. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • B. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • C. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Noemi
    Noemi is a feminine given name used in various languages, often considered an alternative form of the biblical name Naomi.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NoLita
Triple: [NoHo, borderedBy, NoLita]
Generated description
NoLita is a fashionable, upscale neighborhood in Lower Manhattan known for its boutique shopping, trendy restaurants, and historic New York charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NoLita
Target entity description: NoLita is a fashionable, upscale neighborhood in Lower Manhattan known for its boutique shopping, trendy restaurants, and historic New York charm.
  • A. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • B. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • C. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Noemi
    Noemi is a feminine given name used in various languages, often considered an alternative form of the biblical name Naomi.
  • F. None of above. chosen

Provenance (5 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c48d0c81908e794c52fddf2ca2 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3e3736c8190b445156f0c1bdf1f completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ec751abc8190a1f6d09e8c47cd59 completed March 23, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69c0ed1871a88190a2894e7e156478d7 completed March 23, 2026, 7:34 a.m.
Created at: March 22, 2026, 4:02 p.m.