Triple

T10665921
Position Surface form Disambiguated ID Type / Status
Subject Almaty Metro E251356 entity
Predicate hasStation P35 FINISHED
Object Sairan
Sairan is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
E876712 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: Sairan | Statement: [Almaty Metro, hasStation, Sairan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sairan
Context triple: [Almaty Metro, hasStation, Sairan]
  • A. Saiun
    Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • D. Sōri
    Sōri was an early art name used by the renowned Japanese ukiyo-e master Katsushika Hokusai during the formative period of his printmaking career.
  • E. Saibai
    Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
  • 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: Sairan
Triple: [Almaty Metro, hasStation, Sairan]
Generated description
Sairan is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sairan
Target entity description: Sairan is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • A. Saiun
    Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • D. Sōri
    Sōri was an early art name used by the renowned Japanese ukiyo-e master Katsushika Hokusai during the formative period of his printmaking career.
  • E. Saibai
    Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.