Triple

T23027100
Position Surface form Disambiguated ID Type / Status
Subject Jalrez District E573348 entity
Predicate capital P234 FINISHED
Object Jalrez
Jalrez is a town in central Afghanistan that serves as the administrative and commercial hub of Jalrez District in Maidan Wardak Province.
 E1566211 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: Jalrez | Statement: [Jalrez District, capital, Jalrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jalrez
Context triple: [Jalrez District, capital, Jalrez]
  • A. Jal Fazer
    Jal Fazer is a talented, academically driven clarinet player and one of the central teenage characters in the British TV drama series "Skins."
  • B. Jasso
    Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
  • C. Jamnik
    Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
  • D. Jamnik
    Jamnik is an individual who is mentored or instructed by Professor Burris, likely in an academic or professional setting.
  • E. Zap
    Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
  • 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: Jalrez
Triple: [Jalrez District, capital, Jalrez]
Generated description
Jalrez is a town in central Afghanistan that serves as the administrative and commercial hub of Jalrez District in Maidan Wardak Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jalrez
Target entity description: Jalrez is a town in central Afghanistan that serves as the administrative and commercial hub of Jalrez District in Maidan Wardak Province.
  • A. Jal Fazer
    Jal Fazer is a talented, academically driven clarinet player and one of the central teenage characters in the British TV drama series "Skins."
  • B. Jasso
    Jasso is a locality in the Mexican state of Hidalgo, likely known as an industrial or residential community within the region.
  • C. Jamnik
    Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
  • D. Jamnik
    Jamnik is an individual who is mentored or instructed by Professor Burris, likely in an academic or professional setting.
  • E. Zap
    Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847e48c48190894525c354663dd2 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b1cfc081909681be870918ef5b completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf376736481908d6cbe5feb46044b completed May 19, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf404aeb48190962e0e0fcd82c9eb completed May 19, 2026, 5:24 a.m.
Created at: April 17, 2026, 3:52 p.m.