Triple

T7554107
Position Surface form Disambiguated ID Type / Status
Subject Belgrade–Bar railway E178613 entity
Predicate terminus P388 FINISHED
Object Bar E107433 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: Bar | Statement: [Belgrade–Bar railway, terminus, Bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bar
Context triple: [Belgrade–Bar railway, terminus, Bar]
  • A. Bar chosen
    Bar is a coastal city and major seaport in southern Montenegro on the Adriatic Sea.
  • B. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • C. Baar
    Baar is a municipality in the canton of Zug in central Switzerland, known for its favorable tax environment and mix of residential areas and international businesses.
  • D. Bas
    Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
  • E. Ba
    Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f3602008190aa91cf55e43bdf30 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.