Triple

T386353
Position Surface form Disambiguated ID Type / Status
Subject Manhattan E8787 entity
Predicate contains P35 FINISHED
Object Financial District E2854 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: Financial District | Statement: [Manhattan, contains, Financial District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial District
Context triple: [Manhattan, contains, Financial District]
  • A. Financial District
    The Financial District is San Francisco’s primary downtown business hub, characterized by its concentration of corporate headquarters, banks, and high-rise office buildings.
  • B. City Center District
    City Center District is a major commercial and business neighborhood forming the core of downtown Dallas, Texas.
  • C. Wall Street chosen
    Wall Street is the historic financial district in Lower Manhattan that serves as a global center for banking, trading, and economic power.
  • D. Financial District (San Francisco)
    The Financial District in San Francisco is the city’s primary central business hub, characterized by its dense cluster of skyscrapers, corporate headquarters, and major financial institutions.
  • E. Central Precinct
    Central Precinct is a primary operational district of the Portland Police Bureau responsible for law enforcement and public safety in Portland’s central urban area.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec447b5481908a5a084787b44ced completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a403500d048190874ff9e3078d86fe completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.