Triple

T8442724
Position Surface form Disambiguated ID Type / Status
Subject Kim Bôi District E199586 entity
Predicate capital P234 FINISHED
Object Bo town
Bo town is the administrative and economic center of Kim Bôi District in Hòa Bình Province, Vietnam.
 E734435 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: Bo town | Statement: [Kim Bôi District, capital, Bo town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bo town
Context triple: [Kim Bôi District, capital, Bo town]
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Basin City
    Basin City is the gritty, crime-ridden fictional metropolis that serves as the primary setting for Frank Miller’s Sin City graphic novels and their film adaptations.
  • C. Kin Town
    Kin Town is a coastal municipality in Okinawa, Japan, known for hosting part of the U.S. Marine Corps presence on the island and blending local Okinawan culture with a significant military community.
  • D. Bridge City
    Bridge City is a popular nickname for Saskatoon, a Canadian city known for its numerous river crossings over the South Saskatchewan River.
  • E. Tree Town
    Tree Town is a leafy nickname for Ann Arbor, Michigan, highlighting the city's abundant trees and green spaces.
  • 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: Bo town
Triple: [Kim Bôi District, capital, Bo town]
Generated description
Bo town is the administrative and economic center of Kim Bôi District in Hòa Bình Province, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bo town
Target entity description: Bo town is the administrative and economic center of Kim Bôi District in Hòa Bình Province, Vietnam.
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Basin City
    Basin City is the gritty, crime-ridden fictional metropolis that serves as the primary setting for Frank Miller’s Sin City graphic novels and their film adaptations.
  • C. Kin Town
    Kin Town is a coastal municipality in Okinawa, Japan, known for hosting part of the U.S. Marine Corps presence on the island and blending local Okinawan culture with a significant military community.
  • D. Bridge City
    Bridge City is a popular nickname for Saskatoon, a Canadian city known for its numerous river crossings over the South Saskatchewan River.
  • E. Tree Town
    Tree Town is a leafy nickname for Ann Arbor, Michigan, highlighting the city's abundant trees and green spaces.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1fdb77248190aa7d9f2c39446e62 completed April 2, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce207100548190b80fc1ca6d5b4cda completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:08 p.m.