Triple

T13451688
Position Surface form Disambiguated ID Type / Status
Subject Jannah E320621 entity
Predicate associatedWith P37 FINISHED
Object Akhirah E858843 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: Akhirah | Statement: [Jannah, associatedWith, Akhirah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhirah
Context triple: [Jannah, associatedWith, Akhirah]
  • A. Akhirah chosen
    Akhirah is the Islamic concept of the afterlife, encompassing resurrection, judgment, and the eternal reward or punishment that follows this worldly life.
  • B. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • C. Al-Haqqah
    Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
  • D. Al Muntaha
    Al Muntaha is a fine-dining restaurant located near the top of Dubai’s iconic Burj Al Arab, known for its upscale cuisine and panoramic views of the city and Persian Gulf.
  • E. Donya
    Donya is a feminine given name used in various cultures, sometimes as a variant of "Donna" or derived from words meaning "lady" or "world."
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399c539c819080802b620da6fcfc completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.