Triple

T28567921
Position Surface form Disambiguated ID Type / Status
Subject The Old Apartment E722732 entity
Predicate helpedBreakIntoMarket P57776 FINISHED
Object United States NE NERFINISHED

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: United States | Statement: [The Old Apartment, helpedBreakIntoMarket, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: helpedBreakIntoMarket
Context triple: [The Old Apartment, helpedBreakIntoMarket, United States]
  • A. helpedEstablishMarketFor
    Indicates that one entity played a significant role in creating, expanding, or enabling demand or commercial opportunities for another entity’s products, services, or activities.
  • B. helpsBreakInto chosen
    Indicates that one entity assists another in gaining unauthorized access to a place, system, or object.
  • C. marketReach
    Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
  • D. marketedWith
    Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
  • E. strategicMarket
    Indicates that one entity regards another as a key or prioritized market for strategic business objectives, investment, or competitive positioning.
  • F. None of above.

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_69f01a5f69d08190ad5c0d2167078dec completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f65a6c900881908f18b61273d7bf8d completed May 2, 2026, 8:11 p.m.
PD Predicate disambiguation batch_69f659ce58408190ba9e007b4810d4d0 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 4:08 a.m.