Triple

T16239797
Position Surface form Disambiguated ID Type / Status
Subject Maibara E394210 entity
Predicate formedByMergerOf P77 FINISHED
Object Santō
Santō was a former town in Shiga Prefecture, Japan, that was incorporated into the city of Maibara during a municipal merger.
 E1491735 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: Santō | Statement: [Maibara, formedByMergerOf, Santō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santō
Context triple: [Maibara, formedByMergerOf, Santō]
  • A. Sanjo
    Sanjo was a Japanese noblewoman best known as the principal wife of the Sengoku-period warlord Takeda Shingen.
  • B. Sanjo
    Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
  • C. Saijo
    Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
  • D. Kominato
    Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
  • E. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • 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: Santō
Triple: [Maibara, formedByMergerOf, Santō]
Generated description
Santō was a former town in Shiga Prefecture, Japan, that was incorporated into the city of Maibara during a municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santō
Target entity description: Santō was a former town in Shiga Prefecture, Japan, that was incorporated into the city of Maibara during a municipal merger.
  • A. Sanjo
    Sanjo was a Japanese noblewoman best known as the principal wife of the Sengoku-period warlord Takeda Shingen.
  • B. Sanjo
    Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
  • C. Saijo
    Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
  • D. Kominato
    Kominato is a coastal area in present-day Chiba Prefecture, Japan, historically known as the birthplace of the Buddhist monk Nichiren.
  • E. Wakamatsu
    Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09f65821448190858aac8599efeae2 completed May 17, 2026, 5:09 p.m.
NEDg Description generation batch_6a09f7aba1e88190b56decd9839a3afd completed May 17, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_6a09f825b02c819096f57b1dba02ded2 completed May 17, 2026, 5:17 p.m.
Created at: April 10, 2026, 5:04 a.m.