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.