Triple

T14421334
Position Surface form Disambiguated ID Type / Status
Subject SPOT E357589 entity
Predicate underlyingCompanyMarket P72354 FINISHED
Object global LITERAL 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: global | Statement: [SPOT, underlyingCompanyMarket, global]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyMarket
Context triple: [SPOT, underlyingCompanyMarket, global]
  • A. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • B. underlyingCompanyExchange
    Indicates that one entity is the stock exchange on which the underlying company of another financial instrument or contract is listed or traded.
  • C. underlyingCompanyMarketPosition
    Indicates the competitive standing or strength of a company within its relevant market or industry.
  • D. underlyingCompanyPrimaryMarkets chosen
    Indicates the main geographic or sector markets in which the underlying company primarily operates or focuses its business activities.
  • E. underlyingCompanyTicker
    Indicates that one entity is the stock ticker symbol corresponding to the underlying company of another financial instrument or entity.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69de5c30467881908e770e3940295641 completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:18 a.m.