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.