Triple

T10149312
Position Surface form Disambiguated ID Type / Status
Subject Namba, Osaka, Japan E232588 entity
Predicate hasLandmark P105 FINISHED
Object Ebisubashi Bridge E34850 NE FINISHED

How this triple was built (2 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: Ebisubashi Bridge | Statement: [Namba, Osaka, Japan, hasLandmark, Ebisubashi Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebisubashi Bridge
Context triple: [Namba, Osaka, Japan, hasLandmark, Ebisubashi Bridge]
  • A. Nijūbashi Bridge
    Nijūbashi Bridge is a famous pair of arched bridges at the main entrance to Tokyo’s Imperial Palace, known as one of Japan’s most iconic and photographed landmarks.
  • B. Togetsukyo Bridge
    Togetsukyo Bridge is a historic and scenic wooden bridge in Kyoto’s Arashiyama district, famous for its picturesque views of seasonal foliage and cherry blossoms.
  • C. Kiyosu Bridge
    Kiyosu Bridge is a historic steel suspension bridge in Tokyo, Japan, known for its elegant design and resemblance to Germany’s Cologne Bridge.
  • D. Sakurabashi Bridge
    Sakurabashi Bridge is a distinctive pedestrian bridge in Tokyo known for its unique X-shaped design spanning the Sumida River and connecting popular riverside parks.
  • E. Ebisu Bridge chosen
    Ebisu Bridge is a famous pedestrian bridge in Osaka’s Namba district, known for its neon-lit surroundings and as a popular photo spot overlooking the Dotonbori Canal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6369c848190984394eedf2f07eb completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.