Triple

T15448450
Position Surface form Disambiguated ID Type / Status
Subject Örebro E370085 entity
Predicate isNearLake P17985 FINISHED
Object Hjälmaren E868736 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: Hjälmaren | Statement: [Örebro, isNearLake, Hjälmaren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjälmaren
Context triple: [Örebro, isNearLake, Hjälmaren]
  • A. Hjälmaren chosen
    Hjälmaren is one of Sweden’s largest lakes, located in central Sweden and known for its shallow waters and surrounding agricultural and forested landscapes.
  • B. Körkarlen
    Körkarlen is a 1912 novel by Swedish author Selma Lagerlöf that blends supernatural elements with moral and social themes, famously inspiring Victor Sjöström’s classic 1921 silent film adaptation "The Phantom Carriage."
  • C. Fjäderholmarna
    Fjäderholmarna is a small group of islands in the Stockholm archipelago known for their scenic coastal views, craft shops, and popular day-trip destinations from the city.
  • D. Söderhallarna
    Söderhallarna is a central food hall and shopping complex on Södermalm in Stockholm, known for its market stalls, restaurants, and specialty shops.
  • E. Tjaden
    Tjaden is the surname of American actress and singer Janis Paige, known for her work in film, television, and Broadway.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21afb6f4819094162ca842b7eb60 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.