Triple

T21545040
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand R. Hassler E531599 entity
Predicate hasRadioCallsign P1565 FINISHED
Object WTEF 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: WTEF | Statement: [Ferdinand R. Hassler, hasRadioCallsign, WTEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WTEF
Context triple: [Ferdinand R. Hassler, hasRadioCallsign, WTEF]
  • A. WTEF chosen
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • B. WTE
    WTE is the IATA airport code for Wotje Airport in the Marshall Islands.
  • C. WTEE
    WTEE is the radio callsign assigned to the NOAA research vessel Oscar Dyson, used for its identification in maritime communications.
  • D. WTEO
    WTEO is the radio callsign assigned to the NOAA research vessel Bell M. Shimada.
  • E. WTEU
    WTEU is the radio call sign assigned to the Training Ship Golden Bear, a vessel used by the California State University Maritime Academy for cadet training and sea instruction.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.