Triple

T2775068
Position Surface form Disambiguated ID Type / Status
Subject Samara Oblast E61547 entity
Predicate hasCity P316 FINISHED
Object Kinel
Kinel is a small industrial city in southwestern Russia that serves as a local transport and economic hub within Samara Oblast.
 E297418 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: Kinel | Statement: [Samara Oblast, hasCity, Kinel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinel
Context triple: [Samara Oblast, hasCity, Kinel]
  • A. Kinnim
    Kinnim is a tractate of the Mishnah that deals with the laws of bird offerings and the complications arising from their possible mix-ups.
  • B. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • C. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • D. 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."
  • E. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • 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: Kinel
Triple: [Samara Oblast, hasCity, Kinel]
Generated description
Kinel is a small industrial city in southwestern Russia that serves as a local transport and economic hub within Samara Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinel
Target entity description: Kinel is a small industrial city in southwestern Russia that serves as a local transport and economic hub within Samara Oblast.
  • A. Kinnim
    Kinnim is a tractate of the Mishnah that deals with the laws of bird offerings and the complications arising from their possible mix-ups.
  • B. Yekini
    Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Zeilin
    Zeilin is a surname most notably associated with Jacob Zeilin, the first United States Marine Corps officer to be promoted to the rank of brigadier general.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc058c8a48190bbd151251678b4ee completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:57 p.m.