Triple

T1767850
Position Surface form Disambiguated ID Type / Status
Subject Adachi E38804 entity
Predicate contains P35 FINISHED
Object Takenotsuka
Takenotsuka is a neighborhood in Adachi, Tokyo, known as a residential and commercial district served by Takenotsuka Station on the Tobu Skytree Line.
E198078 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: Takenotsuka | Statement: [Adachi, contains, Takenotsuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takenotsuka
Context triple: [Adachi, contains, Takenotsuka]
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Otsunegoten
    Otsunegoten is a historically significant residence within the Kyoto Imperial Palace complex, associated with the Japanese imperial family.
  • C. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • 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: Takenotsuka
Triple: [Adachi, contains, Takenotsuka]
Generated description
Takenotsuka is a neighborhood in Adachi, Tokyo, known as a residential and commercial district served by Takenotsuka Station on the Tobu Skytree Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takenotsuka
Target entity description: Takenotsuka is a neighborhood in Adachi, Tokyo, known as a residential and commercial district served by Takenotsuka Station on the Tobu Skytree Line.
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Otsunegoten
    Otsunegoten is a historically significant residence within the Kyoto Imperial Palace complex, associated with the Japanese imperial family.
  • C. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648bb44c81909245fb7ee23cb132 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada991564c81909ae00fdcb47f52af completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab0295b8819092cb51082337b97b completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaea486d0819097357d881b70d114 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.