Triple

T13494287
Position Surface form Disambiguated ID Type / Status
Subject Empress Shōshi E320718 entity
Predicate religiousTitle P502 FINISHED
Object nyoin
Nyoin was an honorific title in Japan historically granted to imperial women, particularly empresses and high-ranking consorts, who were accorded quasi-monastic and elevated courtly status.
 E1043298 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: nyoin | Statement: [Empress Shōshi, religiousTitle, nyoin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nyoin
Context triple: [Empress Shōshi, religiousTitle, nyoin]
  • A. nyn
    nyn is the ISO 639 language code for Runyankole, a Bantu language spoken primarily in southwestern Uganda.
  • B. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • C. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • D. Niit
    Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
  • E. NI
    NI is the vehicle registration code used on license plates for the Serbian city of Niš.
  • 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: nyoin
Triple: [Empress Shōshi, religiousTitle, nyoin]
Generated description
Nyoin was an honorific title in Japan historically granted to imperial women, particularly empresses and high-ranking consorts, who were accorded quasi-monastic and elevated courtly status.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nyoin
Target entity description: Nyoin was an honorific title in Japan historically granted to imperial women, particularly empresses and high-ranking consorts, who were accorded quasi-monastic and elevated courtly status.
  • A. nyn
    nyn is the ISO 639 language code for Runyankole, a Bantu language spoken primarily in southwestern Uganda.
  • B. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • C. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • D. Niit
    Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
  • E. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f7496187988190b42e51f192cd4a80 completed May 3, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_69f74a0420908190b2b4988cc4d4a20a completed May 3, 2026, 1:13 p.m.
Created at: April 9, 2026, 9:43 p.m.