Triple

T9816055
Position Surface form Disambiguated ID Type / Status
Subject Nerima, Tokyo E238406 entity
Predicate hasDistrict P459 FINISHED
Object Hikarigaoka
Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
 E860871 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: Hikarigaoka | Statement: [Nerima, Tokyo, hasDistrict, Hikarigaoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hikarigaoka
Context triple: [Nerima, Tokyo, hasDistrict, Hikarigaoka]
  • A. Midorigaoka
    Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
  • B. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • C. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Kasumigaseki
    Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
  • 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: Hikarigaoka
Triple: [Nerima, Tokyo, hasDistrict, Hikarigaoka]
Generated description
Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hikarigaoka
Target entity description: Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
  • A. Midorigaoka
    Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
  • B. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • C. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Kasumigaseki
    Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79445b9288190a684184285966fa8 completed April 9, 2026, 11:57 a.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: March 30, 2026, 8:30 p.m.