Triple

T4427785
Position Surface form Disambiguated ID Type / Status
Subject Lake Thun E95249 entity
Predicate hasFerryService P1737 FINISHED
Object BLS Schifffahrt E423274 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: BLS Schifffahrt | Statement: [Lake Thun, hasFerryService, BLS Schifffahrt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLS Schifffahrt
Context triple: [Lake Thun, hasFerryService, BLS Schifffahrt]
  • A. BLS Schifffahrt chosen
    BLS Schifffahrt is a Swiss shipping company that operates passenger boat services on lakes in the Bernese Oberland region.
  • B. BLS AG
    BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
  • C. Evergreen Marine
    Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
  • D. Maritime Labor Board
    The Maritime Labor Board was a U.S. federal body responsible for handling labor relations and disputes in the maritime industry under the authority of the United States Maritime Commission.
  • E. United States Shipping Board
    The United States Shipping Board was a U.S. federal agency established during World War I to regulate and promote the American merchant marine and oversee the construction and operation of commercial ships.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355674d5481908bf2dfd611f3520f completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136ac9c081908780783a27f66474 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.