Triple

T10664759
Position Surface form Disambiguated ID Type / Status
Subject 大阪市港区 E251325 entity
Predicate hasLandmark P105 FINISHED
Object 大阪港咲洲トンネル
大阪港咲洲トンネルは、大阪市内の大阪港と咲洲(南港)エリアを結ぶ自動車専用の海底トンネルです。
E876675 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: 大阪港咲洲トンネル | Statement: [大阪市港区, hasLandmark, 大阪港咲洲トンネル]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪港咲洲トンネル
Context triple: [大阪市港区, hasLandmark, 大阪港咲洲トンネル]
  • A. 東京湾アクアライン
    東京湾アクアラインは、東京湾を横断して神奈川県川崎市と千葉県木更津市を結ぶ海底トンネルと長大橋から成る有料道路です。
  • B. Kanmon Tunnel
    The Kanmon Tunnel is an undersea railway and road tunnel in Japan that links the islands of Honshu and Kyushu beneath the Kanmon Straits.
  • C. Tokyo Bay Aqua-Line Bridge
    The Tokyo Bay Aqua-Line Bridge is the long bridge section of the Tokyo Bay Aqua-Line, a combined bridge–tunnel route that spans Tokyo Bay to connect Chiba and Kanagawa Prefectures in Japan.
  • D. Tokyo Bay Aqua-Line
    Tokyo Bay Aqua-Line is a combined bridge–tunnel expressway route in Japan that spans Tokyo Bay, connecting Kawasaki in Kanagawa Prefecture with Kisarazu in Chiba Prefecture.
  • E. Tsunoshima Bridge
    Tsunoshima Bridge is a scenic coastal bridge in Japan known for its striking turquoise waters and picturesque route connecting the mainland of Yamaguchi Prefecture to Tsunoshima Island.
  • 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: 大阪港咲洲トンネル
Triple: [大阪市港区, hasLandmark, 大阪港咲洲トンネル]
Generated description
大阪港咲洲トンネルは、大阪市内の大阪港と咲洲(南港)エリアを結ぶ自動車専用の海底トンネルです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大阪港咲洲トンネル
Target entity description: 大阪港咲洲トンネルは、大阪市内の大阪港と咲洲(南港)エリアを結ぶ自動車専用の海底トンネルです。
  • A. 東京湾アクアライン
    東京湾アクアラインは、東京湾を横断して神奈川県川崎市と千葉県木更津市を結ぶ海底トンネルと長大橋から成る有料道路です。
  • B. Kanmon Tunnel
    The Kanmon Tunnel is an undersea railway and road tunnel in Japan that links the islands of Honshu and Kyushu beneath the Kanmon Straits.
  • C. Tokyo Bay Aqua-Line Bridge
    The Tokyo Bay Aqua-Line Bridge is the long bridge section of the Tokyo Bay Aqua-Line, a combined bridge–tunnel route that spans Tokyo Bay to connect Chiba and Kanagawa Prefectures in Japan.
  • D. Tokyo Bay Aqua-Line
    Tokyo Bay Aqua-Line is a combined bridge–tunnel expressway route in Japan that spans Tokyo Bay, connecting Kawasaki in Kanagawa Prefecture with Kisarazu in Chiba Prefecture.
  • E. Tsunoshima Bridge
    Tsunoshima Bridge is a scenic coastal bridge in Japan known for its striking turquoise waters and picturesque route connecting the mainland of Yamaguchi Prefecture to Tsunoshima Island.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31e8f5c8190ba03da312d397524 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.