Triple

T8257110
Position Surface form Disambiguated ID Type / Status
Subject Hamura E193097 entity
Predicate adjacentTo P224 FINISHED
Object Ōme
Ōme is a city in the western part of Tokyo, Japan, known for its natural scenery, hiking trails, and access to the Tama River.
 E721176 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: Ōme | Statement: [Hamura, adjacentTo, Ōme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ōme
Context triple: [Hamura, adjacentTo, Ōme]
  • A. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • B. Yamanakako
    Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • E. Warekena
    The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
  • 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: Ōme
Triple: [Hamura, adjacentTo, Ōme]
Generated description
Ōme is a city in the western part of Tokyo, Japan, known for its natural scenery, hiking trails, and access to the Tama River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ōme
Target entity description: Ōme is a city in the western part of Tokyo, Japan, known for its natural scenery, hiking trails, and access to the Tama River.
  • A. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • B. Yamanakako
    Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
  • C. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • D. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • E. Warekena
    The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fb91d08190904c59ccc0cd444a completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd355bef508190894bd01ec39e83f6 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd37a7ea30819094b1c140868fab5f completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4f0055dc8190803a7c412533aec4 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:49 p.m.