Triple

T15853026
Position Surface form Disambiguated ID Type / Status
Subject IDEM E384386 entity
Predicate hasUnderlying P107958 FINISHED
Object Italian equities 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: Italian equities | Statement: [IDEM, hasUnderlying, Italian equities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnderlying
Context triple: [IDEM, hasUnderlying, Italian equities]
  • A. hasUnderlyingMarket chosen
    Indicates that one entity is based on, derives its value from, or is traded with reference to another entity that serves as its fundamental market.
  • B. hasUnderlyingEntity
    Indicates that one entity serves as the fundamental or base entity upon which another entity is conceptually or structurally built.
  • C. hasUnderlyingIssuer
    Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
  • D. hasUnderlyingAssets
    Indicates that one entity is supported, backed, or derived from another entity or set of entities that serve as its foundational assets.
  • E. hasUnderlyingSet
    Indicates that one mathematical structure is associated with, or based on, a specific underlying set of elements.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.