Triple

T5805781
Position Surface form Disambiguated ID Type / Status
Subject Jalāl al-Dīn E128740 entity
Predicate mainWork P922 FINISHED
Object Fīhi mā fīhi E120192 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: Fīhi mā fīhi | Statement: [Jalāl al-Dīn, mainWork, Fīhi mā fīhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fīhi mā fīhi
Context triple: [Jalāl al-Dīn, mainWork, Fīhi mā fīhi]
  • A. Fihi Ma Fihi chosen
    Fihi Ma Fihi is a collection of prose discourses by the Persian Sufi mystic Rumi, presenting his spiritual teachings and interpretations of Islamic mysticism.
  • B. Fanaa
    Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
  • C. Huzur
    Huzur is a renowned novel by Turkish author Ahmet Hamdi Tanpınar that explores themes of love, identity, and existential anxiety in pre-World War II Istanbul.
  • D. Filerimos
    Filerimos is a historic hill on the island of Rhodes in Greece, known for its medieval monastery, ancient acropolis ruins, and panoramic views over the surrounding area.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0983a0b648190ba2c76434d3b1b58 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.