Triple

T16232164
Position Surface form Disambiguated ID Type / Status
Subject Nusle Valley E394009 entity
Predicate knownFor P22 FINISHED
Object Nusle Bridge E1208356 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: Nusle Bridge | Statement: [Nusle Valley, knownFor, Nusle Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nusle Bridge
Context triple: [Nusle Valley, knownFor, Nusle Bridge]
  • A. Nusle Bridge chosen
    Nusle Bridge is a major concrete road bridge in Prague, Czech Republic, known for carrying a key traffic artery and metro line high above the Nusle Valley.
  • B. Usk Bridge
    Usk Bridge is a historic stone arch bridge spanning the River Usk in the town of Usk, Monmouthshire, Wales.
  • C. Okertal Bridge
    The Okertal Bridge is a notable road bridge spanning the Oker River in the Harz region of Germany, known for its scenic surroundings and role in regional transportation.
  • D. Drapano Bridge
    Drapano Bridge is a historic stone causeway and one of the longest stone bridges over the sea, connecting the town of Argostoli to the opposite shore on the Greek island of Kefalonia.
  • E. Prachechny Bridge
    Prachechny Bridge is a historic stone bridge in Saint Petersburg, Russia, spanning the Fontanka River near the former imperial laundry buildings.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2b0cc48190853919135d5a172a completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00354a20d081908288fb8c0e8b83b6 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:04 a.m.