Triple

T13614510
Position Surface form Disambiguated ID Type / Status
Subject Bykle E325276 entity
Predicate hasDemonym P191 FINISHED
Object Byklar E325276 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: Byklar | Statement: [Bykle, hasDemonym, Byklar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byklar
Context triple: [Bykle, hasDemonym, Byklar]
  • A. Bykle chosen
    Bykle is a small rural municipality in southern Norway known for its mountainous landscapes and outdoor recreation opportunities.
  • B. Buchlyvie
    Buchlyvie is a small rural village in central Scotland, situated between Stirling and Loch Lomond, known for its agricultural surroundings and historic character.
  • C. Barkarby
    Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
  • D. Kukl
    Kukl was an Icelandic post-punk band from the early 1980s known for its experimental sound and for featuring future Sugarcubes members, including Björk.
  • E. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae7d6908190836172e955b0d7e8 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.