Triple

T3107530
Position Surface form Disambiguated ID Type / Status
Subject Itō Sukeyuki E64868 entity
Predicate familyName P18 FINISHED
Object Itō
Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
 E452962 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: Itō | Statement: [Itō Sukeyuki, familyName, Itō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itō
Context triple: [Itō Sukeyuki, familyName, Itō]
  • A. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • B. Arakawa
    Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • 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: Itō
Triple: [Itō Sukeyuki, familyName, Itō]
Generated description
Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itō
Target entity description: Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
  • A. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • B. Arakawa
    Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • E. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc4fea8fc8190bf99d53fc56d7d39 completed March 20, 2026, 10:06 p.m.
NEDg Description generation batch_69bdc95cabc081909c2174d5a1145edc completed March 20, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69bdca0d95308190b3b52d6f046fbf0e completed March 20, 2026, 10:28 p.m.
Created at: March 8, 2026, 3:04 p.m.