Triple

T17313482
Position Surface form Disambiguated ID Type / Status
Subject Ono E420360 entity
Predicate canBeWrittenAs P12679 FINISHED
Object 園尾
園尾 is a Japanese surname, read as "Ono," that is written with the kanji characters for "garden" and "tail/end."
E1261974 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: 園尾 | Statement: [Ono, canBeWrittenAs, 園尾]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 園尾
Context triple: [Ono, canBeWrittenAs, 園尾]
  • A. 長尾寺
    長尾寺 is a Buddhist temple in Kagawa Prefecture that serves as Temple 87 on Japan’s renowned Shikoku Pilgrimage.
  • B. 田口
    田口 is a common Japanese surname and given name used by various individuals across fields such as sports, entertainment, and academia.
  • C. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • D. 玉藻公園
    玉藻公園 is a historic park in Takamatsu, Kagawa Prefecture, best known for encompassing the ruins and gardens of Takamatsu Castle along the Seto Inland Sea.
  • E. 祇園
    祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
  • 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: 園尾
Triple: [Ono, canBeWrittenAs, 園尾]
Generated description
園尾 is a Japanese surname, read as "Ono," that is written with the kanji characters for "garden" and "tail/end."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 園尾
Target entity description: 園尾 is a Japanese surname, read as "Ono," that is written with the kanji characters for "garden" and "tail/end."
  • A. 長尾寺
    長尾寺 is a Buddhist temple in Kagawa Prefecture that serves as Temple 87 on Japan’s renowned Shikoku Pilgrimage.
  • B. 田口
    田口 is a common Japanese surname and given name used by various individuals across fields such as sports, entertainment, and academia.
  • C. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • D. 玉藻公園
    玉藻公園 is a historic park in Takamatsu, Kagawa Prefecture, best known for encompassing the ruins and gardens of Takamatsu Castle along the Seto Inland Sea.
  • E. 祇園
    祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399a4194819091d34cd3fffc8072 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e6e830819097b33d6b99232727 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01853590d081908f6523c55e4f610d completed May 11, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a01860e39788190bbf5ca5188352d95 completed May 11, 2026, 7:32 a.m.
Created at: April 10, 2026, 5:43 a.m.