Triple

T14135858
Position Surface form Disambiguated ID Type / Status
Subject Khanzada Begum E350292 entity
Predicate birthPlace P1 FINISHED
Object Andijan E68252 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: Andijan | Statement: [Khanzada Begum, birthPlace, Andijan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andijan
Context triple: [Khanzada Begum, birthPlace, Andijan]
  • A. Andijan chosen
    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.
  • B. Kokand
    Kokand is a historic city in the Fergana Valley of present-day Uzbekistan that served as a major political, cultural, and trading center in Central Asia.
  • C. Tashkurgan
    Tashkurgan is a remote town in China’s Xinjiang region, inhabited mainly by Tajik people and known as a key stop on the Karakoram Highway near the Pakistan border.
  • D. Qarshi
    Qarshi is a historic city in southern Uzbekistan known as a regional economic and cultural center.
  • E. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610e949c8190852d336c9d12bfd0 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b98d6881908c0efd086a973af2 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 12:13 a.m.