Triple

T9542789
Position Surface form Disambiguated ID Type / Status
Subject Oghuz Yabgu State E230197 entity
Predicate rulingTitle P10605 FINISHED
Object Yabgu
Yabgu was a high-ranking Turkic noble title, often designating a semi-independent ruler or viceroy governing frontier or subordinate territories within a larger khaganate.
 E805795 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: Yabgu | Statement: [Oghuz Yabgu State, rulingTitle, Yabgu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yabgu
Context triple: [Oghuz Yabgu State, rulingTitle, Yabgu]
  • A. Yunak
    Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
  • B. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Chuvan
    The Chuvan are a small Indigenous Siberian people traditionally inhabiting parts of northeastern Russia, with a culture shaped by reindeer herding, hunting, and Arctic riverine environments.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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: Yabgu
Triple: [Oghuz Yabgu State, rulingTitle, Yabgu]
Generated description
Yabgu was a high-ranking Turkic noble title, often designating a semi-independent ruler or viceroy governing frontier or subordinate territories within a larger khaganate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yabgu
Target entity description: Yabgu was a high-ranking Turkic noble title, often designating a semi-independent ruler or viceroy governing frontier or subordinate territories within a larger khaganate.
  • A. Yunak
    Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
  • B. Urga
    Urga is the historical name of Mongolia’s capital city, now known as Ulaanbaatar.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Chuvan
    The Chuvan are a small Indigenous Siberian people traditionally inhabiting parts of northeastern Russia, with a culture shaped by reindeer herding, hunting, and Arctic riverine environments.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6538b08190a9f81304214a876d completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.