Triple

T19873200
Position Surface form Disambiguated ID Type / Status
Subject Järvafältet E477572 entity
Predicate near P350 FINISHED
Object Husby NE NERFINISHED

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: Husby | Statement: [Järvafältet, near, Husby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Husby
Context triple: [Järvafältet, near, Husby]
  • A. Husby chosen
    Husby is a residential district in the northwestern part of Stockholm, Sweden, known for its multicultural population and large-scale modern housing.
  • B. Hussey
    Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
  • C. Havu
    Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
  • D. Hoornaar
    Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
  • E. Husabost
    Husabost is a small rural settlement on the Duirinish peninsula of the Isle of Skye in Scotland, known for its scenic coastal and crofting landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.