Triple

T20941032
Position Surface form Disambiguated ID Type / Status
Subject Pahlavon Mahmud Mausoleum E515719 entity
Predicate locatedIn P40 FINISHED
Object Khiva NE NERFINISHED

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: Khiva | Statement: [Pahlavon Mahmud Mausoleum, locatedIn, Khiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khiva
Context triple: [Pahlavon Mahmud Mausoleum, locatedIn, Khiva]
  • A. Khiva chosen
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • 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. Khwarezm
    Khwarezm is a historic region in Central Asia, centered around the lower Amu Darya river, that served as an important cultural and political hub for various Iranian and Turkic peoples over many centuries.
  • D. Turkistan
    Turkistan is a historic city in southern Kazakhstan renowned as a major center of Islamic culture and pilgrimage in Central Asia.
  • E. Bukhara Oasis
    Bukhara Oasis is a fertile, historically significant area in Central Asia that has long served as a cultural and commercial hub along the Silk Road.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f955f0148190ae42278ad5c0f363 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.