Triple

T9638287
Position Surface form Disambiguated ID Type / Status
Subject Green Bridge E232991 entity
Predicate name P16 FINISHED
Object Green Bridge E232991 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: Green Bridge | Statement: [Green Bridge, name, Green Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Bridge
Context triple: [Green Bridge, name, Green Bridge]
  • A. Green Bridge chosen
    Green Bridge is a historic pedestrian and vehicular bridge in Saint Petersburg, Russia, known for spanning the Moika River near Nevsky Prospekt.
  • B. 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.
  • C. Black Bridge
    Black Bridge is a historic suspension bridge spanning the Colorado River in the Grand Canyon, used by hikers and mule trains on the South Kaibab Trail.
  • D. Gold Bridge
    Gold Bridge is a small, remote community in British Columbia, Canada, known historically for gold mining and as a gateway to the surrounding Coast Mountains wilderness.
  • E. Friday Bridge
    Friday Bridge is a small village in Cambridgeshire, England, known for its rural character and location near the town of Wisbech.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b51b08081908e30744607b28953 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18243cfdc81908ecdf039c38de478 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.