Triple

T11341650
Position Surface form Disambiguated ID Type / Status
Subject Qutham ibn Abbas E268612 entity
Predicate burialPlace P196 FINISHED
Object Samarqand E66141 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: Samarqand | Statement: [Qutham ibn Abbas, burialPlace, Samarqand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samarqand
Context triple: [Qutham ibn Abbas, burialPlace, Samarqand]
  • A. Samarkand chosen
    Samarkand is an ancient Silk Road city in present-day Uzbekistan renowned for its Timurid-era Islamic architecture and role as a major cultural and commercial center of Central Asia.
  • B. Tashkent
    Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
  • C. Taşkent
    Taşkent is a small mountainous district and town in Turkey’s Konya Province, known for its rural character and scenic Anatolian landscape.
  • D. Andijan
    Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
  • E. Urgench
    Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f457b970b88190869cb0b80aca5c4a completed May 1, 2026, 7:35 a.m.
Created at: April 8, 2026, 9:33 p.m.