Triple

T22516631
Position Surface form Disambiguated ID Type / Status
Subject Tiger Crystal E556663 entity
Predicate relatedProduct P37 FINISHED
Object Tiger Radler 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: Tiger Radler | Statement: [Tiger Crystal, relatedProduct, Tiger Radler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger Radler
Context triple: [Tiger Crystal, relatedProduct, Tiger Radler]
  • A. Tiger Radler chosen
    Tiger Radler is a citrus-flavoured, lower-alcohol beer mix produced under the Tiger Beer brand, combining lager with lemonade for a refreshing taste.
  • B. Locride
    Locride is a historic area in southern Calabria, Italy, known for its ancient Greek heritage, coastal landscapes, and traditional Calabrian culture.
  • C. Marchwiel
    Marchwiel is a residential suburb of the coastal city of Timaru in the South Island of New Zealand.
  • D. Rodel
    Rodel is a small village on the Isle of Harris in Scotland’s Outer Hebrides, known for its historic St Clement’s Church and scenic coastal setting.
  • E. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2df59c81909c4ae2f20f1cbb32 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.