Triple

T16485309
Position Surface form Disambiguated ID Type / Status
Subject Sixten Jernberg E400422 entity
Predicate burialPlace P196 FINISHED
Object Mora, Sweden E432099 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: Mora, Sweden | Statement: [Sixten Jernberg, burialPlace, Mora, Sweden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mora, Sweden
Context triple: [Sixten Jernberg, burialPlace, Mora, Sweden]
  • A. Landsbro, Sweden
    Landsbro, Sweden is a small locality in Vetlanda Municipality, Jönköping County, known as the hometown of NHL defenseman Erik Karlsson.
  • B. Mariefred, Sweden
    Mariefred, Sweden is a small historic town west of Stockholm known for its medieval Gripsholm Castle and scenic lakeside setting.
  • C. Värnamo, Sweden
    Värnamo, Sweden is a small industrial town in Jönköping County in southern Sweden, known for its manufacturing sector and as the hometown of prominent politician Annie Lööf.
  • D. Hova, Sweden
    Hova, Sweden is a small locality in Västra Götaland County, known as the birthplace of ABBA’s manager and lyricist Stig Anderson.
  • E. Mora, Dalarna, Sweden chosen
    Mora, in Dalarna County, Sweden, is a small town known for its rich folk culture, traditional crafts, and as the hometown of renowned painter Anders Zorn.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e068fac8190a0971f548848fcfe completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607aafa48190929250a879c602ca completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.