Triple

T3305799
Position Surface form Disambiguated ID Type / Status
Subject Edo E69445 entity
Predicate foundedBy P104 FINISHED
Object Ōta Dōkan
Ōta Dōkan was a 15th-century Japanese samurai, military strategist, and monk best known for building Edo Castle, which later became the political center of Japan as Tokyo.
 E347177 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: Ōta Dōkan | Statement: [Edo, foundedBy, Ōta Dōkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ōta Dōkan
Context triple: [Edo, foundedBy, Ōta Dōkan]
  • A. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • D. Toyooka
    Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
  • E. Kintomo Mushakoji
    Kintomo Mushakoji was a Japanese diplomat who served as a key representative of Japan’s government in the 1930s, notably involved in its alignment with Axis powers.
  • 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: Ōta Dōkan
Triple: [Edo, foundedBy, Ōta Dōkan]
Generated description
Ōta Dōkan was a 15th-century Japanese samurai, military strategist, and monk best known for building Edo Castle, which later became the political center of Japan as Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ōta Dōkan
Target entity description: Ōta Dōkan was a 15th-century Japanese samurai, military strategist, and monk best known for building Edo Castle, which later became the political center of Japan as Tokyo.
  • A. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • D. Toyooka
    Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
  • E. Kintomo Mushakoji
    Kintomo Mushakoji was a Japanese diplomat who served as a key representative of Japan’s government in the 1930s, notably involved in its alignment with Axis powers.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa93ebc0819084c4cdfdb8d6e48d completed March 12, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.