Triple
T17326223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 西行 |
E420692
|
entity |
| Predicate | 主なゆかりの地 |
P55226
|
FINISHED |
| Object |
吉野
吉野は、奈良県に位置し桜の名所として知られる古来より歌人や修行者に愛された山里の地である。
|
E1263499
|
NE FINISHED |
How this triple was built (5 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: 吉野 | Statement: [西行, 主なゆかりの地, 吉野]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 吉野 Context triple: [西行, 主なゆかりの地, 吉野]
-
A.
高千穂町
高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
-
B.
美瑛町
美瑛町 is a picturesque town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic rural landscapes.
-
C.
吉井川
吉井川は、岡山県などを流れて瀬戸内海に注ぐ、中国地方を代表する一級河川の一つです。
-
D.
野呂山
野呂山 is a scenic mountain in Hiroshima Prefecture, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing spots.
-
E.
高野山
高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.
- 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: 吉野 Triple: [西行, 主なゆかりの地, 吉野]
Generated description
吉野は、奈良県に位置し桜の名所として知られる古来より歌人や修行者に愛された山里の地である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 吉野 Target entity description: 吉野は、奈良県に位置し桜の名所として知られる古来より歌人や修行者に愛された山里の地である。
-
A.
高千穂町
高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
-
B.
美瑛町
美瑛町 is a picturesque town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic rural landscapes.
-
C.
吉井川
吉井川は、岡山県などを流れて瀬戸内海に注ぐ、中国地方を代表する一級河川の一つです。
-
D.
野呂山
野呂山 is a scenic mountain in Hiroshima Prefecture, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing spots.
-
E.
高野山
高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主なゆかりの地 Context triple: [西行, 主なゆかりの地, 吉野]
-
A.
hasMainPlace
chosen
Indicates that one entity is designated as the primary or central location associated with another entity.
-
B.
mainlyAffectedPrefecture
Indicates that a particular prefecture is the primary or most significantly impacted area in relation to an event, condition, or effect.
-
C.
locatedInPrefectureCapitalRegion
Indicates that the subject is geographically situated within the capital region of a given prefecture.
-
D.
relatedPlace
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
E.
typicalGeographicalAssociation
Indicates a usual or characteristic geographical connection between entities, such as a place commonly associated with a person, group, or phenomenon.
- F. None of above.
Provenance (6 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018f2358b481908226aa84a7bd9d7f |
completed | May 11, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0190125abc8190ad4d1f500e3513b3 |
completed | May 11, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.