Triple

T9723520
Position Surface form Disambiguated ID Type / Status
Subject Akasaka E235541 entity
Predicate near P350 FINISHED
Object Tameike
Tameike is a district in Tokyo’s Minato ward known for its central location near Akasaka and its concentration of offices, government buildings, and transport links.
 E816206 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: Tameike | Statement: [Akasaka, near, Tameike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tameike
Context triple: [Akasaka, near, Tameike]
  • A. Lake Shikotsu
    Lake Shikotsu is a deep caldera lake in Hokkaido, Japan, renowned for its exceptionally clear water and scenic volcanic surroundings.
  • B. Guri Dam
    Guri Dam is one of the world’s largest hydroelectric dams, located on the Caroní River in Venezuela and a major source of the country’s electricity.
  • C. Lake Kussharo
    Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
  • D. Ukai Dam
    Ukai Dam is a major multi-purpose reservoir and hydroelectric dam in Gujarat, India, built on the Tapi River for irrigation, power generation, and flood control.
  • E. Lake Kawaguchi
    Lake Kawaguchi is a scenic lake in Japan’s Fuji Five Lakes region, renowned for its iconic views of Mount Fuji and popular hot spring resorts.
  • 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: Tameike
Triple: [Akasaka, near, Tameike]
Generated description
Tameike is a district in Tokyo’s Minato ward known for its central location near Akasaka and its concentration of offices, government buildings, and transport links.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tameike
Target entity description: Tameike is a district in Tokyo’s Minato ward known for its central location near Akasaka and its concentration of offices, government buildings, and transport links.
  • A. Lake Shikotsu
    Lake Shikotsu is a deep caldera lake in Hokkaido, Japan, renowned for its exceptionally clear water and scenic volcanic surroundings.
  • B. Guri Dam
    Guri Dam is one of the world’s largest hydroelectric dams, located on the Caroní River in Venezuela and a major source of the country’s electricity.
  • C. Lake Kussharo
    Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
  • D. Ukai Dam
    Ukai Dam is a major multi-purpose reservoir and hydroelectric dam in Gujarat, India, built on the Tapi River for irrigation, power generation, and flood control.
  • E. Lake Kawaguchi
    Lake Kawaguchi is a scenic lake in Japan’s Fuji Five Lakes region, renowned for its iconic views of Mount Fuji and popular hot spring resorts.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa5a8e48190b7b1742eb6c3b81e completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a022efd48190b0206bbdf3d93b9e completed April 4, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69d1a09ae5b48190b4d0b01cd20ba140 completed April 4, 2026, 11:36 p.m.
Created at: March 30, 2026, 8:20 p.m.