Triple

T15512938
Position Surface form Disambiguated ID Type / Status
Subject Sawara-ku E368759 entity
Predicate contains P35 FINISHED
Object Hara area
Hara area is a neighborhood within Sawara-ku in Fukuoka City, Japan, known as a residential and local commercial district.
 E1164316 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: Hara area | Statement: [Sawara-ku, contains, Hara area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hara area
Context triple: [Sawara-ku, contains, Hara area]
  • A. Hakozaki area
    The Hakozaki area is a district in Fukuoka known for the historic Hakozaki Shrine and its traditional urban streetscape.
  • B. Mihara area
    The Mihara area is a region in Hiroshima Prefecture, Japan, known as a local transport hub and coastal community along the Seto Inland Sea.
  • C. Honmoku area
    The Honmoku area is a coastal district in Yokohama, Japan, known for its historic port-related development and cultural sites such as the traditional Japanese landscape of Sankeien Garden.
  • D. Honmura area
    Honmura area is a traditional village district on Japan’s Naoshima Island known for its narrow streets, old houses, and art installations integrated into everyday spaces.
  • E. Tenshiba area
    Tenshiba area is a lively, family-friendly outdoor zone at the entrance of Tennoji Park in Osaka, featuring lawns, cafes, shops, and event spaces.
  • 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: Hara area
Triple: [Sawara-ku, contains, Hara area]
Generated description
Hara area is a neighborhood within Sawara-ku in Fukuoka City, Japan, known as a residential and local commercial district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hara area
Target entity description: Hara area is a neighborhood within Sawara-ku in Fukuoka City, Japan, known as a residential and local commercial district.
  • A. Hakozaki area
    The Hakozaki area is a district in Fukuoka known for the historic Hakozaki Shrine and its traditional urban streetscape.
  • B. Mihara area
    The Mihara area is a region in Hiroshima Prefecture, Japan, known as a local transport hub and coastal community along the Seto Inland Sea.
  • C. Honmoku area
    The Honmoku area is a coastal district in Yokohama, Japan, known for its historic port-related development and cultural sites such as the traditional Japanese landscape of Sankeien Garden.
  • D. Honmura area
    Honmura area is a traditional village district on Japan’s Naoshima Island known for its narrow streets, old houses, and art installations integrated into everyday spaces.
  • E. Tenshiba area
    Tenshiba area is a lively, family-friendly outdoor zone at the entrance of Tennoji Park in Osaka, featuring lawns, cafes, shops, and event spaces.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3618dc8190aab243bb61d198ce completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4e000eb481909f1ddf7b24130c7a completed May 9, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_69ff4e57445c8190969327311c73b2e6 completed May 9, 2026, 3:10 p.m.
Created at: April 10, 2026, 4:01 a.m.