Triple

T15314974
Position Surface form Disambiguated ID Type / Status
Subject River Gala E366131 entity
Predicate alsoKnownAs P39 FINISHED
Object Gala Water E103624 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: Gala Water | Statement: [River Gala, alsoKnownAs, Gala Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gala Water
Context triple: [River Gala, alsoKnownAs, Gala Water]
  • A. Gala Water chosen
    Gala Water is a river in the Scottish Borders that flows through the town of Galashiels before joining the River Tweed.
  • B. Smartwater
    Smartwater is a popular premium bottled water brand known for its vapor-distilled water with added electrolytes for taste, marketed as a clean, crisp hydration option.
  • C. LaQua
    LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
  • D. Coolaid
    Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
  • E. Sparkling Waters
    Sparkling Waters is an ocean-themed world in New Super Mario Bros. U featuring tropical islands, underwater stages, and beachside platforming challenges.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.