Triple

T10242861
Position Surface form Disambiguated ID Type / Status
Subject Suginami E243639 entity
Predicate contains P35 FINISHED
Object Koenji
Koenji is a lively Tokyo neighborhood known for its vintage clothing shops, underground music scene, and numerous small bars and eateries.
 E853001 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: Koenji | Statement: [Suginami, contains, Koenji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koenji
Context triple: [Suginami, contains, Koenji]
  • A. Kanamecho
    Kanamecho is a neighborhood in Tokyo known for its residential character, local shopping streets, and convenient access via the Tokyo Metro Yurakucho and Fukutoshin lines.
  • B. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • C. Kamitabashi
    Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
  • D. Kagurazaka
    Kagurazaka is a historic neighborhood in central Tokyo known for its narrow cobblestone streets, traditional ryotei restaurants, and blend of old geisha district charm with modern boutiques and cafes.
  • E. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • 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: Koenji
Triple: [Suginami, contains, Koenji]
Generated description
Koenji is a lively Tokyo neighborhood known for its vintage clothing shops, underground music scene, and numerous small bars and eateries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koenji
Target entity description: Koenji is a lively Tokyo neighborhood known for its vintage clothing shops, underground music scene, and numerous small bars and eateries.
  • A. Kanamecho
    Kanamecho is a neighborhood in Tokyo known for its residential character, local shopping streets, and convenient access via the Tokyo Metro Yurakucho and Fukutoshin lines.
  • B. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • C. Kamitabashi
    Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
  • D. Kagurazaka
    Kagurazaka is a historic neighborhood in central Tokyo known for its narrow cobblestone streets, traditional ryotei restaurants, and blend of old geisha district charm with modern boutiques and cafes.
  • E. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d229c1ac8190a86e911aea47a56d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f78a6efc819091f8303a6cfe4c8b completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:25 a.m.