Triple

T20438300
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Timber Rattlers E501311 entity
Predicate hasAbbreviation P43 FINISHED
Object WTR 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: WTR | Statement: [Wisconsin Timber Rattlers, hasAbbreviation, WTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WTR
Context triple: [Wisconsin Timber Rattlers, hasAbbreviation, WTR]
  • A. WTR chosen
    WTR is the commonly used abbreviation for the World Trade Report, an annual publication analyzing trends and issues in global trade.
  • B. WTER
    WTER is the radio call sign assigned to the NOAA research vessel Nancy Foster, used for its maritime identification and communications.
  • C. WAT
    WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
  • D. WAT
    WAT is the IATA airport code for Waterford Airport in Waterford, Ireland.
  • E. WAT
    WAT is the standard short code used to represent Waterford F.C., a professional football club based in Waterford, Ireland.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f112e48190a3af818c0f6ee839 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.