Triple

T16014897
Position Surface form Disambiguated ID Type / Status
Subject Go Between Bridge E388439 entity
Predicate officialName P66 FINISHED
Object Go Between Bridge E388439 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: Go Between Bridge | Statement: [Go Between Bridge, officialName, Go Between Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go Between Bridge
Context triple: [Go Between Bridge, officialName, Go Between Bridge]
  • A. Go Between Bridge chosen
    Go Between Bridge is a toll bridge in Brisbane, Australia, that carries motor vehicles, pedestrians, and cyclists across the Brisbane River, linking the inner-city suburbs of Milton and West End.
  • B. East Bridge
    East Bridge is the eastern section of Denmark's Great Belt Fixed Link, a major suspension bridge connecting the islands of Zealand and Sprogø.
  • C. Green Bridge
    Green Bridge is a historic pedestrian and vehicular bridge in Saint Petersburg, Russia, known for spanning the Moika River near Nevsky Prospekt.
  • D. Green Bridge
    The Green Bridge is a historic vehicular bridge in Bradenton, Florida, that spans the Manatee River and serves as a key local crossing.
  • E. Diamond Bridge
    Diamond Bridge is the popular nickname for Gwangan Bridge, a prominent suspension bridge and nighttime landmark in Busan, South Korea.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18293ec1081909248e366967850c0 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.