Triple

T36958633
Position Surface form Disambiguated ID Type / Status
Subject Red Armor (Quake Live) E914250 entity
Predicate riskRewardProfile P60460 FINISHED
Object high value high risk pickup 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: high value high risk pickup | Statement: [Red Armor (Quake Live), riskRewardProfile, high value high risk pickup]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskRewardProfile
Context triple: [Red Armor (Quake Live), riskRewardProfile, high value high risk pickup]
  • A. riskReturnProfile chosen
    Indicates how the level of risk associated with an entity or investment corresponds to its expected or historical return.
  • B. riskProfile
    Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
  • C. riskProfileClaim
    Indicates that a claim is being made about the level or characteristics of risk associated with an entity or situation.
  • D. rewardProfile
    Indicates the pattern or structure of rewards an entity receives or is expected to receive, such as how, when, and under what conditions rewards are allocated.
  • E. riskAttitude
    Indicates how an entity’s preferences or behavior change in response to uncertainty, reflecting its tendency to avoid, accept, or seek risk in decisions.
  • 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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa0a7b00948190a257273d9968c5d7 completed May 5, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f9fec9c9488190ae2a349651a02782 completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:13 p.m.