Triple

T5994328
Position Surface form Disambiguated ID Type / Status
Subject NOAA Ship Oscar Dyson E133430 entity
Predicate callsign P1565 FINISHED
Object WTEE
WTEE is the radio callsign assigned to the NOAA research vessel Oscar Dyson, used for its identification in maritime communications.
 E560390 NE FINISHED

How this triple was built (4 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 Ship Oscar Dyson, callsign, WTEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTEE
Context triple: [NOAA Ship Oscar Dyson, callsign, WTEE]
  • A. WTEF
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • B. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • C. 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.
  • D. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • E. WWA
    WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WTEE
Triple: [NOAA Ship Oscar Dyson, callsign, WTEE]
Generated description
WTEE is the radio callsign assigned to the NOAA research vessel Oscar Dyson, used for its identification in maritime communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTEE
Target entity description: WTEE is the radio callsign assigned to the NOAA research vessel Oscar Dyson, used for its identification in maritime communications.
  • A. WTEF
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • B. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • C. 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.
  • D. TWG
    TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
  • E. WWA
    WWA is the National Rail station code for Woolwich Arsenal railway station in southeast London.
  • F. None of above. chosen

Provenance (5 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e92e1448190bbf961a8243082ee completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1086f6b5481908c573c6e533ad98a completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10920720c8190bc182385d14d45ae completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c109ab219c8190b6155c32ae5db1b9 completed March 23, 2026, 9:36 a.m.
Created at: March 22, 2026, 4:05 p.m.