Triple

T26106934
Position Surface form Disambiguated ID Type / Status
Subject Ar-Rahman E658560 entity
Predicate mercyType P159956 FINISHED
Object mercy for all beings 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: mercy for all beings | Statement: [Ar-Rahman, mercyType, mercy for all beings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mercyType
Context triple: [Ar-Rahman, mercyType, mercy for all beings]
  • A. mercyRule
    Indicates that a game is ended early because one side has achieved a lead so large that continuing is deemed unnecessary or unsporting.
  • B. martyr
    Indicates that an entity is killed or suffers greatly, typically for a belief, cause, or principle, often being regarded or treated as a martyr as a result.
  • C. მეუღლე
    Indicates a spousal relationship between two people, where each is the legally or socially recognized husband or wife of the other.
  • D. sacrificeType
    Indicates the specific kind or category of sacrifice involved in a sacrificial action or relationship.
  • E. subjectOfTribute
    Indicates that one entity is the target or honoree of a tribute, such as a payment, offering, or act of respect made by another entity.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f607782ce48190a57ade3cfe455c89 completed May 2, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 26, 2026, 7:59 p.m.