Triple

T595570
Position Surface form Disambiguated ID Type / Status
Subject E-mini S&P 500 futures E17373 entity
Predicate riskType P15871 FINISHED
Object market risk 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: market risk | Statement: [E-mini S&P 500 futures, riskType, market risk]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskType
Context triple: [E-mini S&P 500 futures, riskType, market risk]
  • A. riskFeature
    Indicates that one entity possesses or exhibits a characteristic, condition, or attribute that increases the likelihood or severity of a negative outcome for another entity or situation.
  • B. risk
    Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
  • C. riskLevel
    Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
  • D. riskProfile
    Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
  • E. riskManagement
    Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
  • F. None of above. chosen

Provenance (4 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd280ac8190b6a530ce73da85c8 completed March 1, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69a494ceeb7881909a91ed1a35d5bf0a completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985b7d7481909b5d30f4001ed61c completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.