Triple

T21024495
Position Surface form Disambiguated ID Type / Status
Subject Riksäpplet upper secondary school E517902 entity
Predicate locatedIn P40 FINISHED
Object Handen 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: Handen | Statement: [Riksäpplet upper secondary school, locatedIn, Handen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Handen
Context triple: [Riksäpplet upper secondary school, locatedIn, Handen]
  • A. Handen chosen
    Handen is a suburban district in Stockholm County, Sweden, serving as a commercial and residential hub within the Haninge area.
  • B. Yadayim
    Yadayim is a tractate of the Mishnah that deals with the laws of ritual purity as they relate to the hands and certain scriptural texts.
  • C. Hand in Glove
    "Hand in Glove" is a detective novel by Ngaio Marsh featuring her series sleuth Inspector Roderick Alleyn investigating a murder in the English countryside.
  • D. Two Hands
    Two Hands is a 1999 Australian crime comedy film starring Heath Ledger and Bryan Brown, known for its blend of dark humor and Sydney underworld drama.
  • E. Two Hands
    Two Hands is a popular Australian solitaire card game created by game designer Ken Sallows.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc6059908190bf5c9ef9c30f1a32 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.