Triple

T35426755
Position Surface form Disambiguated ID Type / Status
Subject Milner-Barry Gambit in the Nimzo-Indian Defence E1023940 entity
Predicate rewardPotential P183294 FINISHED
Object strong attacking chances if Black is unprepared 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: strong attacking chances if Black is unprepared | Statement: [Milner-Barry Gambit in the Nimzo-Indian Defence, rewardPotential, strong attacking chances if Black is unprepared]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rewardPotential
Context triple: [Milner-Barry Gambit in the Nimzo-Indian Defence, rewardPotential, strong attacking chances if Black is unprepared]
  • A. rewardSignal
    Indicates that one entity provides a signal representing feedback or incentive (such as a reward or penalty) to guide another entity’s behavior or learning process.
  • B. rewardScope
    Indicates the extent, range, or conditions under which a reward applies within a given context or system.
  • C. rewardUse
    Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
  • D. rewardRate
    Indicates the rate or level of compensation, benefit, or return provided in exchange for a particular action, contribution, or condition.
  • E. rewardTiming
    Indicates the point in time or schedule at which a reward is given relative to the triggering action or condition.
  • 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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
PDg Predicate description generation batch_69f79da8d8848190ab5ab1bdad95d58c completed May 3, 2026, 7:10 p.m.
Created at: May 3, 2026, 4:03 p.m.