Triple

T15420490
Position Surface form Disambiguated ID Type / Status
Subject The Sincerity E369360 entity
Predicate hasAlternativeName P39 FINISHED
Object The Purity E370969 NE 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: The Purity | Statement: [The Sincerity, hasAlternativeName, The Purity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Purity
Context triple: [The Sincerity, hasAlternativeName, The Purity]
  • A. The Purity chosen
    The Purity is an English name for Surah Al-Ikhlas, a short but central chapter of the Qur’an that emphasizes the absolute oneness and uniqueness of God.
  • B. Purifications
    Purifications is a philosophical poem by the pre-Socratic thinker Empedocles that explores themes of cosmic order, reincarnation, and the purification of the soul.
  • C. The Absolutely Pure
    "The Absolutely Pure" is an English rendering of Al-Quddus, one of the 99 Names of Allah in Islam, emphasizing God's perfect holiness and complete freedom from any imperfection.
  • D. Book of Purity
    Book of Purity is a section of the Mishneh Torah by Maimonides that systematically codifies Jewish laws concerning ritual purity and impurity.
  • E. Purify
    Purify is a software debugging and memory error detection tool originally developed by Pure Software to help developers identify and fix runtime memory issues in their programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7adb848190836fb972bc8744f1 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.