Triple

T3530380
Position Surface form Disambiguated ID Type / Status
Subject Shinagawa E74645 entity
Predicate hasMajorArea P36071 FINISHED
Object Togoshi
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
 E496311 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: Togoshi | Statement: [Shinagawa, hasMajorArea, Togoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Togoshi
Context triple: [Shinagawa, hasMajorArea, Togoshi]
  • A. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • D. Otachi
    Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
  • E. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • 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: Togoshi
Triple: [Shinagawa, hasMajorArea, Togoshi]
Generated description
Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Togoshi
Target entity description: Togoshi is a residential and commercial neighborhood in Tokyo’s Shinagawa ward, known for its traditional shopping streets and local atmosphere.
  • A. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • D. Otachi
    Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
  • E. Tokoro
    Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec330d09c819085930d71b21acb7c completed March 21, 2026, 4:11 p.m.
NEDg Description generation batch_69bec505a5dc81908f79c1ade107c4ce completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec654fc4881909bf5458cdafc7ffd completed March 21, 2026, 4:24 p.m.
Created at: March 8, 2026, 3:19 p.m.