Triple

T21258705
Position Surface form Disambiguated ID Type / Status
Subject Gaochang Ruins E523938 entity
Predicate historicalName P65 FINISHED
Object Kharakhoja 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: Kharakhoja | Statement: [Gaochang Ruins, historicalName, Kharakhoja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharakhoja
Context triple: [Gaochang Ruins, historicalName, Kharakhoja]
  • A. Kharakhoja chosen
    Kharakhoja is an ancient oasis city in present-day Xinjiang, China, historically known as a key Silk Road trading and cultural center.
  • B. Akhulgo
    Akhulgo was a heavily fortified mountain stronghold in Dagestan that served as Imam Shamil’s key base during the Murid War against the Russian Empire.
  • C. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • D. Chokurdakh
    Chokurdakh is a remote rural settlement in Russia’s Sakha Republic, known as an Arctic community and administrative center located in the far northeastern Siberian tundra.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.