Triple

T14424898
Position Surface form Disambiguated ID Type / Status
Subject Nishiseto Expressway E357670 entity
Predicate hasMajorBridge P386 FINISHED
Object Ikuchi Bridge E381481 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: Ikuchi Bridge | Statement: [Nishiseto Expressway, hasMajorBridge, Ikuchi Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ikuchi Bridge
Context triple: [Nishiseto Expressway, hasMajorBridge, Ikuchi Bridge]
  • A. Ikuchi Bridge chosen
    Ikuchi Bridge is a cable-stayed bridge in Japan that forms part of the scenic Shimanami Kaido route connecting the islands of the Seto Inland Sea.
  • B. Motoyasu Bridge
    Motoyasu Bridge is a notable bridge in Hiroshima, Japan, located near the Atomic Bomb Dome and spanning the Motoyasu branch of the Ota River.
  • C. Hakucho Bridge
    Hakucho Bridge is a prominent suspension bridge in Muroran, Hokkaido, known for its impressive span and night illumination across Muroran Bay.
  • D. Ebisu Bridge
    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.
  • E. Konohana Bridge
    Konohana Bridge is a notable bridge in Osaka, Japan, known for connecting the Konohana ward with other parts of the city and contributing to the area’s urban infrastructure and skyline.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a10afc8190b1ed1b10a4443e8f completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:18 a.m.