Triple

T10675009
Position Surface form Disambiguated ID Type / Status
Subject Jinn E251592 entity
Predicate hasPluralForm P5088 FINISHED
Object jinn E251592 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: jinn | Statement: [Jinn, hasPluralForm, jinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: jinn
Context triple: [Jinn, hasPluralForm, jinn]
  • A. Jinn chosen
    Jinn are supernatural beings in Islamic belief, created from smokeless fire and endowed with free will, who exist alongside humans and can choose to obey or disobey God.
  • B. jingū
    A jingū is a major Shinto shrine of particularly high status, often associated with the imperial family or significant national deities in Japan.
  • C. In the Face of Jinn
    In the Face of Jinn is a novel by Cheryl Howard that follows two American sisters on a transformative journey through Pakistan and India after a family tragedy.
  • D. Yinjebi
    Yinjebi is an alternative name for the Nzebi people, a Bantu ethnic group primarily living in Gabon and the Republic of the Congo.
  • E. Les Djinns
    Les Djinns is a celebrated poem by Victor Hugo that vividly depicts a supernatural invasion through its innovative, rhythmically intensifying structure.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98876222c8190be638bdfa3ce4ceb completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:09 p.m.