Triple

T3078325
Position Surface form Disambiguated ID Type / Status
Subject Rikken Kaishintō E64192 entity
Predicate hasAbbreviation P43 FINISHED
Object Kaishintō
Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
 E324952 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: Kaishintō | Statement: [Rikken Kaishintō, hasAbbreviation, Kaishintō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaishintō
Context triple: [Rikken Kaishintō, hasAbbreviation, Kaishintō]
  • A. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • B. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • C. Bawasaba
    "Bawasaba" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy chorus.
  • D. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
  • 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: Kaishintō
Triple: [Rikken Kaishintō, hasAbbreviation, Kaishintō]
Generated description
Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaishintō
Target entity description: Kaishintō was a prominent Meiji-era Japanese political party advocating constitutional government and liberal reforms.
  • A. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • B. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • C. Bawasaba
    "Bawasaba" is a popular Afro-dancehall song by Ghanaian artist Stonebwoy, known for its energetic rhythm and catchy chorus.
  • D. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f890a21c8190bcb78fe5c9ec6e75 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f9883fa48190b41921bcfbe55e59 completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9f759408190a4f2121078fe13cb completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:02 p.m.