Triple

T10933285
Position Surface form Disambiguated ID Type / Status
Subject Navoi Region E258262 entity
Predicate contains P35 FINISHED
Object Nurata
Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
 E893690 NE FINISHED

How this triple was built (4 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: Nurata | Statement: [Navoi Region, contains, Nurata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nurata
Context triple: [Navoi Region, contains, Nurata]
  • A. Núr
    Núr is the second month of the Badíʻ (Baháʼí) calendar, whose name means “Light” in Arabic.
  • B. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • C. Rajura
    Rajura is a town in Maharashtra, India, known for its coal mining and cement industries.
  • D. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • E. Katurian
    Katurian is the troubled fiction writer at the center of Martin McDonagh’s dark play "The Pillowman," whose disturbing stories become entangled with a series of real-life crimes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nurata
Triple: [Navoi Region, contains, Nurata]
Generated description
Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nurata
Target entity description: Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • A. Núr
    Núr is the second month of the Badíʻ (Baháʼí) calendar, whose name means “Light” in Arabic.
  • B. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • C. Rajura
    Rajura is a town in Maharashtra, India, known for its coal mining and cement industries.
  • D. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • E. Katurian
    Katurian is the troubled fiction writer at the center of Martin McDonagh’s dark play "The Pillowman," whose disturbing stories become entangled with a series of real-life crimes.
  • F. None of above. chosen

Provenance (5 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a16cbc8190acd619defed7114c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:23 p.m.