Triple

T1427807
Position Surface form Disambiguated ID Type / Status
Subject S&P 500 ETFs E30371 entity
Predicate performanceDriver P20527 FINISHED
Object performance of large-cap U.S. stocks 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: performance of large-cap U.S. stocks | Statement: [S&P 500 ETFs, performanceDriver, performance of large-cap U.S. stocks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performanceDriver
Context triple: [S&P 500 ETFs, performanceDriver, performance of large-cap U.S. stocks]
  • A. performance
    Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
  • B. featuresPerformanceBy
    Indicates a relationship where something (such as an event, work, or production) includes or showcases a performance given by a particular performer or group.
  • C. impactOnPerformance chosen
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
  • D. drives
    Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
  • E. drivesOn
    Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
  • 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.