Triple

T1427776
Position Surface form Disambiguated ID Type / Status
Subject S&P 500 ETFs E30371 entity
Predicate diversification P14738 FINISHED
Object broad sector diversification within U.S. large caps 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: broad sector diversification within U.S. large caps | Statement: [S&P 500 ETFs, diversification, broad sector diversification within U.S. large caps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diversification
Context triple: [S&P 500 ETFs, diversification, broad sector diversification within U.S. large caps]
  • A. diversifiedIn chosen
    Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
  • B. diversity
    Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
  • C. divested
    Indicates that one entity has sold off, relinquished, or otherwise disposed of ownership, control, or interest in another entity or asset.
  • D. isNonDiversified
    Indicates that an entity’s resources, investments, or activities are concentrated in a limited set of areas rather than being spread across a diverse range.
  • E. investment
    Indicates a relationship where one party allocates resources (such as money, time, or effort) into something with the expectation of future benefit or return.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.