Triple

T10420612
Position Surface form Disambiguated ID Type / Status
Subject As-Sabiqun (The Foremost) E245636 entity
Predicate rewardInHereafter P93495 FINISHED
Object highest ranks in Paradise 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: highest ranks in Paradise | Statement: [As-Sabiqun (The Foremost), rewardInHereafter, highest ranks in Paradise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rewardInHereafter
Context triple: [As-Sabiqun (The Foremost), rewardInHereafter, highest ranks in Paradise]
  • 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. rewardFulfilledFor
    Indicates that a previously promised or expected reward has been delivered or satisfied for a particular entity.
  • C. monetaryReward
    Indicates that one entity provides or promises a payment of money to another as compensation, incentive, or prize.
  • D. rewardUse
    Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
  • E. rewardMechanism
    Indicates a relationship where an entity provides or defines a system of incentives or compensation in response to certain actions, behaviors, or outcomes.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2bee2081908e5e65df9100d463 completed April 7, 2026, 11:27 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
PDg Predicate description generation batch_69d4e91de3088190ae89cbb12fb29db8 completed April 7, 2026, 11:23 a.m.
Created at: April 6, 2026, 12:11 p.m.