Triple

T11433871
Position Surface form Disambiguated ID Type / Status
Subject Empress Genshō E270954 entity
Predicate eraNameUsed P2938 FINISHED
Object Yōrō
Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
 E933137 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: Yōrō | Statement: [Empress Genshō, eraNameUsed, Yōrō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yōrō
Context triple: [Empress Genshō, eraNameUsed, Yōrō]
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • C. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • D. Yoron
    Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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: Yōrō
Triple: [Empress Genshō, eraNameUsed, Yōrō]
Generated description
Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yōrō
Target entity description: Yōrō was a Japanese era of the Nara period, noted for administrative reforms and cultural development under imperial rule.
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • C. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • D. Yoron
    Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
NEDg Description generation batch_69e6ef8fca248190bc2fdd8457258874 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f8ec88e88190bfa21c2d06d67bd8 completed April 21, 2026, 4:11 a.m.
Created at: April 8, 2026, 9:35 p.m.