Triple

T13423612
Position Surface form Disambiguated ID Type / Status
Subject Djurgården ferry E313420 entity
Predicate operator P179 FINISHED
Object Waxholmsbolaget E547986 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: Waxholmsbolaget | Statement: [Djurgården ferry, operator, Waxholmsbolaget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waxholmsbolaget
Context triple: [Djurgården ferry, operator, Waxholmsbolaget]
  • A. Waxholmsbolaget ferries chosen
    Waxholmsbolaget ferries are a public ferry service operating in the Stockholm archipelago, connecting its many islands with regular passenger and cargo routes.
  • B. Kockums AB
    Kockums AB was a Swedish shipbuilding company best known for designing and constructing naval vessels, including submarines, before becoming part of Saab Kockums.
  • C. Carl Lindström Company
    Carl Lindström Company was a pioneering early 20th-century German record company and recording conglomerate that played a major role in the development of the European music industry.
  • D. Stena AB
    Stena AB is a Swedish privately owned conglomerate with major operations in shipping, ferry services, offshore drilling, and real estate.
  • E. Marcussen & Søn
    Marcussen & Søn is a renowned Danish firm celebrated for crafting high-quality pipe organs for churches and concert halls worldwide.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308673488190a64f4b205899605b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.