Triple

T8223436
Position Surface form Disambiguated ID Type / Status
Subject Nogai Khan E192119 entity
Predicate associatedPeople P37 FINISHED
Object Toqta
Toqta was a khan of the Golden Horde in the late 13th and early 14th centuries, known for consolidating central authority and curbing the power of rival Mongol nobles.
E719265 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: Toqta | Statement: [Nogai Khan, associatedPeople, Toqta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toqta
Context triple: [Nogai Khan, associatedPeople, Toqta]
  • A. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Tuvok
    Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
  • E. Taloqan
    Taloqan is a city in northeastern Afghanistan that serves as the capital of Takhar Province and a regional hub for trade and administration.
  • 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: Toqta
Triple: [Nogai Khan, associatedPeople, Toqta]
Generated description
Toqta was a khan of the Golden Horde in the late 13th and early 14th centuries, known for consolidating central authority and curbing the power of rival Mongol nobles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toqta
Target entity description: Toqta was a khan of the Golden Horde in the late 13th and early 14th centuries, known for consolidating central authority and curbing the power of rival Mongol nobles.
  • A. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Tuvok
    Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
  • E. Taloqan
    Taloqan is a city in northeastern Afghanistan that serves as the capital of Takhar Province and a regional hub for trade and administration.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cae2948190ae4507b75b5d5784 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee09ac548190a9988ff77d43e77e completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05eaba1c81908510a20b1ca93821 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:45 p.m.