Triple

T13176377
Position Surface form Disambiguated ID Type / Status
Subject Umerkot District E313107 entity
Predicate hasCity P316 FINISHED
Object Kunri
Kunri is a town in Pakistan’s Sindh province known as a major center for red chili production and trade.
 E1026444 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: Kunri | Statement: [Umerkot District, hasCity, Kunri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kunri
Context triple: [Umerkot District, hasCity, Kunri]
  • A. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • B. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • C. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • D. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • E. Kunis
    Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
  • 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: Kunri
Triple: [Umerkot District, hasCity, Kunri]
Generated description
Kunri is a town in Pakistan’s Sindh province known as a major center for red chili production and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kunri
Target entity description: Kunri is a town in Pakistan’s Sindh province known as a major center for red chili production and trade.
  • A. Kuni
    Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
  • B. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • C. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • D. Kokonoe
    Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
  • E. Kunis
    Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e5eacc8190ae39dcdb12c9b563 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6ba509c8190a99426ba4506d31f completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f812ae048190907b8def6b0d019c completed May 3, 2026, 7:24 a.m.
Created at: April 9, 2026, 9:14 p.m.