Triple
T11309689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高槻市 |
E267804
|
entity |
| Predicate | borderWith |
P224
|
FINISHED |
| Object |
島本町
島本町は大阪府北部に位置し、淀川沿いの自然環境と水無瀬神宮などの歴史的名所で知られる町です。
|
E917323
|
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: 島本町 | Statement: [高槻市, borderWith, 島本町]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 島本町 Context triple: [高槻市, borderWith, 島本町]
-
A.
Tokunoshima Town
Tokunoshima Town is a coastal municipality on Tokunoshima Island in Japan’s Kagoshima Prefecture, known for its subtropical climate, sugarcane agriculture, and traditional Ryukyuan-influenced culture.
-
B.
Miyakojima City
Miyakojima City is a Japanese municipal city in Okinawa Prefecture known for governing the Miyako Islands, a subtropical island group famous for its beaches and coral reefs.
-
C.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
-
D.
友ヶ島
友ヶ島 is a group of small, historically fortified islands in Wakayama Prefecture, Japan, known for their abandoned military ruins and scenic coastal landscapes.
-
E.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
- 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: 島本町 Triple: [高槻市, borderWith, 島本町]
Generated description
島本町は大阪府北部に位置し、淀川沿いの自然環境と水無瀬神宮などの歴史的名所で知られる町です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 島本町 Target entity description: 島本町は大阪府北部に位置し、淀川沿いの自然環境と水無瀬神宮などの歴史的名所で知られる町です。
-
A.
Tokunoshima Town
Tokunoshima Town is a coastal municipality on Tokunoshima Island in Japan’s Kagoshima Prefecture, known for its subtropical climate, sugarcane agriculture, and traditional Ryukyuan-influenced culture.
-
B.
Miyakojima City
Miyakojima City is a Japanese municipal city in Okinawa Prefecture known for governing the Miyako Islands, a subtropical island group famous for its beaches and coral reefs.
-
C.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
-
D.
友ヶ島
友ヶ島 is a group of small, historically fortified islands in Wakayama Prefecture, Japan, known for their abandoned military ruins and scenic coastal landscapes.
-
E.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a70022081908bc74185003a3503 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516d0910481908fee176db0d9229b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.