Triple

T9065417
Position Surface form Disambiguated ID Type / Status
Subject Lalish E217231 entity
Predicate hasAlternativeName P39 FINISHED
Object Laliş Nûranî
Laliş Nûranî is an alternative name for Lalish, the holiest temple complex and spiritual center of the Yazidi faith in northern Iraq.
 E776577 NE FINISHED

How this triple was built (4 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: Laliş Nûranî | Statement: [Lalish, hasAlternativeName, Laliş Nûranî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laliş Nûranî
Context triple: [Lalish, hasAlternativeName, Laliş Nûranî]
  • A. Nigar Hatun
    Nigar Hatun was an Ottoman consort of Sultan Bayezid II and the mother of his son Şehzade Korkut.
  • B. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • C. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • D. Güls
    Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
  • E. Mihrişah Kadın
    Mihrişah Kadın was an 18th-century Ottoman imperial consort and influential mother of Sultan Mustafa III.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laliş Nûranî
Triple: [Lalish, hasAlternativeName, Laliş Nûranî]
Generated description
Laliş Nûranî is an alternative name for Lalish, the holiest temple complex and spiritual center of the Yazidi faith in northern Iraq.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laliş Nûranî
Target entity description: Laliş Nûranî is an alternative name for Lalish, the holiest temple complex and spiritual center of the Yazidi faith in northern Iraq.
  • A. Nigar Hatun
    Nigar Hatun was an Ottoman consort of Sultan Bayezid II and the mother of his son Şehzade Korkut.
  • B. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • C. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • D. Güls
    Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
  • E. Mihrişah Kadın
    Mihrişah Kadın was an 18th-century Ottoman imperial consort and influential mother of Sultan Mustafa III.
  • F. None of above. chosen

Provenance (5 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bc91d48190acf62afa90eec079 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdd4ad78819098f64d8440c7fa96 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:11 p.m.