Triple

T10547727
Position Surface form Disambiguated ID Type / Status
Subject Qusta ibn Luqa E248865 entity
Predicate name P16 FINISHED
Object Qusta ibn Luqa E248865 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: Qusta ibn Luqa | Statement: [Qusta ibn Luqa, name, Qusta ibn Luqa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qusta ibn Luqa
Context triple: [Qusta ibn Luqa, name, Qusta ibn Luqa]
  • A. Qusta ibn Luqa chosen
    Qusta ibn Luqa was a 9th-century Melkite Christian physician, philosopher, and translator who played a key role in transmitting Greek scientific and philosophical works into Arabic.
  • B. Abu Yaʿza Yalnour
    Abu Yaʿza Yalnour was an early Moroccan Sufi master and ascetic whose spiritual teachings and example deeply shaped the development of Maghrebi Sufism.
  • C. Abu al-Ula
    Abu al-Ula was a Muslim ruler in medieval Seville under whose authority the iconic Torre del Oro was constructed.
  • D. Abu al-Zinad
    Abu al-Zinad was an early Islamic scholar and hadith transmitter known for his role in preserving and teaching prophetic traditions in Medina.
  • E. Sahnun ibn Saʿid
    Sahnun ibn Saʿid was a prominent 9th-century Maliki jurist from North Africa, best known for compiling the influential legal manual al-Mudawwana.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:33 p.m.