Triple

T20336308
Position Surface form Disambiguated ID Type / Status
Subject Cascade Investment E492619 entity
Predicate portfolioSectorExposure P5739 FINISHED
Object hospitality 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: hospitality | Statement: [Cascade Investment, portfolioSectorExposure, hospitality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portfolioSectorExposure
Context triple: [Cascade Investment, portfolioSectorExposure, hospitality]
  • A. portfolioConcentration
    Indicates the degree to which investments or holdings are focused in a limited number of assets, sectors, or strategies within a portfolio.
  • B. portfolioWithin
    Indicates that one portfolio is contained within, or is a subset of, another portfolio.
  • C. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • D. sectorWeighting chosen
    Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
  • E. marketPortfolioProxy
    Indicates that one entity serves as a proxy or representative approximation of the overall market portfolio for another entity or context.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677eb4d5881908ea5ec5a1dd7eafa completed April 20, 2026, 7 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:23 a.m.