Triple

T11015049
Position Surface form Disambiguated ID Type / Status
Subject Shah Murad E260341 entity
Predicate title P38 FINISHED
Object Emir E289417 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: Emir | Statement: [Shah Murad, title, Emir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emir
Context triple: [Shah Murad, title, Emir]
  • A. Califa
    Califa is an alternative transliteration of the Arabic title "Khalifa," commonly referring to a caliph or Islamic leader.
  • B. Emirs chosen
    Emirs are traditional Muslim rulers or leaders, particularly in parts of West Africa and the Middle East, who hold significant religious, cultural, and sometimes political authority within their communities.
  • C. Ameer
    Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
  • D. Ghulfan
    Ghulfan is a Nubian language spoken by the Ghulfan people in the Nuba Mountains region of Sudan.
  • E. Buraimi
    Buraimi is an oasis town in northeastern Oman, historically significant as a strategic frontier settlement near the UAE border.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a49f648190a5144625d09dec6f completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.