Triple

T14064051
Position Surface form Disambiguated ID Type / Status
Subject Nihombashi district E338416 entity
Predicate hasLandmark P105 FINISHED
Object Nihonbashi bridge E565231 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: Nihonbashi bridge | Statement: [Nihombashi district, hasLandmark, Nihonbashi bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihonbashi bridge
Context triple: [Nihombashi district, hasLandmark, Nihonbashi bridge]
  • A. Nihonbashi Bridge chosen
    Nihonbashi Bridge is a historic stone arch bridge in central Tokyo that has long served as Japan’s traditional kilometer zero and a key commercial and cultural landmark.
  • B. 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.
  • C. Ryogoku Bridge
    Ryogoku Bridge is a historic bridge in Tokyo, Japan, long known as a bustling cultural and commercial landmark spanning the Sumida River.
  • D. 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.
  • E. Shijō Bridge
    Shijō Bridge is a historic and bustling bridge in central Kyoto, Japan, linking the Gion district with downtown shopping and entertainment areas across the Kamo River.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefcc5708190beacccaa978a4abd completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.