Triple

T22677723
Position Surface form Disambiguated ID Type / Status
Subject NOAA research vessel Oscar Dyson E560390 entity
Predicate hasRadioCallsign P1565 FINISHED
Object WTEE 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: WTEE | Statement: [NOAA research vessel Oscar Dyson, hasRadioCallsign, WTEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WTEE
Context triple: [NOAA research vessel Oscar Dyson, hasRadioCallsign, WTEE]
  • A. WTEE chosen
    WTEE is the radio callsign assigned to the NOAA research vessel Oscar Dyson, used for its identification in maritime communications.
  • B. WTEF
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • C. TTW
    TTW is the ICAO airline designator assigned to Tigerair Taiwan, a low-cost carrier based in Taiwan.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. WHE
    WHE is the National Rail station code for Whalley railway station in Lancashire, England.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785d93e48190b37d11642b0cb123 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.