Triple

T4216278
Position Surface form Disambiguated ID Type / Status
Subject Emperor Daigo E94223 entity
Predicate eraNameUsed P2938 FINISHED
Object Daigo
Daigo was the era name (nengō) in Japanese history corresponding to the reign of Emperor Daigo in the early 10th century.
 E689635 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: Daigo | Statement: [Emperor Daigo, eraNameUsed, Daigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daigo
Context triple: [Emperor Daigo, eraNameUsed, Daigo]
  • A. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • B. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Shimonoseki
    Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
  • E. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • 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: Daigo
Triple: [Emperor Daigo, eraNameUsed, Daigo]
Generated description
Daigo was the era name (nengō) in Japanese history corresponding to the reign of Emperor Daigo in the early 10th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daigo
Target entity description: Daigo was the era name (nengō) in Japanese history corresponding to the reign of Emperor Daigo in the early 10th century.
  • A. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • B. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • C. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • D. Shimonoseki
    Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
  • E. Imabari
    Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34bea284081909beaded9873f0852 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
NEDg Description generation batch_69c904629c18819085cc64d751780947 completed March 29, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_69c904c50e2c819084d43242ae8c10e2 completed March 29, 2026, 10:53 a.m.
Created at: March 12, 2026, 11:04 p.m.