Triple

T16537210
Position Surface form Disambiguated ID Type / Status
Subject Suginami E401722 entity
Predicate contains P35 FINISHED
Object Amanuma
Amanuma is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and convenient access to central Tokyo.
 E1222455 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: Amanuma | Statement: [Suginami, contains, Amanuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amanuma
Context triple: [Suginami, contains, Amanuma]
  • A. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • B. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • C. Remutaka
    Remutaka is a New Zealand parliamentary electorate in the Wellington region, encompassing Upper Hutt and surrounding areas.
  • D. Gonnoi
    Gonnoi is a town in the Larissa regional unit of Thessaly, Greece, situated near the Vale of Tempi and known for its agricultural surroundings and historical roots.
  • E. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • 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: Amanuma
Triple: [Suginami, contains, Amanuma]
Generated description
Amanuma is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and convenient access to central Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amanuma
Target entity description: Amanuma is a neighborhood within Tokyo’s Suginami ward, known as a primarily residential area with local shops and convenient access to central Tokyo.
  • A. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • B. Kamakou
    Kamakou is a prominent mountain peak on the Hawaiian island of Molokaʻi, known for its lush native rainforest and rich biodiversity.
  • C. Remutaka
    Remutaka is a New Zealand parliamentary electorate in the Wellington region, encompassing Upper Hutt and surrounding areas.
  • D. Gonnoi
    Gonnoi is a town in the Larissa regional unit of Thessaly, Greece, situated near the Vale of Tempi and known for its agricultural surroundings and historical roots.
  • E. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758d82748190acfb8bbc3047d5a5 completed May 10, 2026, 12:09 p.m.
NEDg Description generation batch_6a00762ce9a881908b41b610c3f14780 completed May 10, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a007728680c819082a3bd7e84edb2b0 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:15 a.m.