Triple

T17076866
Position Surface form Disambiguated ID Type / Status
Subject Simply Orange E414369 entity
Predicate competitor P1375 FINISHED
Object Tropicana E109821 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: Tropicana | Statement: [Simply Orange, competitor, Tropicana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tropicana
Context triple: [Simply Orange, competitor, Tropicana]
  • A. The Tropicana
    The Tropicana is a seafront leisure and events complex in Weston-super-Mare, England, best known for hosting large-scale art installations and public entertainment.
  • B. Tropicana Products chosen
    Tropicana Products is a major American brand best known for producing and marketing fruit-based beverages, especially orange juice.
  • C. Palomas
    Palomas is a small municipality located in the Tierra de Barros comarca of the Extremadura region in western Spain.
  • D. Tropic of Orange
    Tropic of Orange is a postmodern, magical realist novel that interweaves multiple narratives to explore issues of globalization, migration, and urban life in and around Los Angeles.
  • E. Granadina
    Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc559388190b685504cca6ed62b completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edfda588190aff6c6d4c8d64ddd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.