Triple

T10687417
Position Surface form Disambiguated ID Type / Status
Subject Meguro Ward E251913 entity
Predicate hasDistrict P459 FINISHED
Object Yutenji
Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
 E1014999 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: Yutenji | Statement: [Meguro Ward, hasDistrict, Yutenji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yutenji
Context triple: [Meguro Ward, hasDistrict, Yutenji]
  • A. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • B. 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.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • 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: Yutenji
Triple: [Meguro Ward, hasDistrict, Yutenji]
Generated description
Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yutenji
Target entity description: Yutenji is a residential neighborhood in Tokyo’s Meguro Ward known for its historic Yutenji Temple and local shopping streets.
  • A. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • B. 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.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0ce0a508190a2f44cbe812b5f17 completed May 3, 2026, 3:28 a.m.
NEDg Description generation batch_69f6c20a1eb881908a28dc884c2005ef completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c34dff148190bc016ea8fd88c9ad completed May 3, 2026, 3:38 a.m.
Created at: April 8, 2026, 9:10 p.m.