Triple

T6871114
Position Surface form Disambiguated ID Type / Status
Subject Nizami Ganjavi E158547 entity
Predicate notableWork P4 FINISHED
Object Khamsa E524712 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: Khamsa | Statement: [Nizami Ganjavi, notableWork, Khamsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khamsa
Context triple: [Nizami Ganjavi, notableWork, Khamsa]
  • A. Khamsa of Nizami chosen
    The Khamsa of Nizami is a celebrated 12th-century Persian literary masterpiece comprising five romantic and didactic epic poems that became a central source of inspiration for later Persian art and miniature painting.
  • B. As-Sab‘ al-Mathani
    As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
  • C. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • D. Al-Masad
    Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • E. Lisān al-Ghayb
    Lisān al-Ghayb is the honorific epithet of the Persian poet Hafez, highlighting his perceived mystical insight into the unseen and the divine.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8aa47f48190bc7cad3cc652f530 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742a841548190abd706ea1efd622f completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.