Triple

T5952081
Position Surface form Disambiguated ID Type / Status
Subject Training Ship Golden Bear E132422 entity
Predicate callSign P1565 FINISHED
Object 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.
 E557894 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: WTEU | Statement: [Training Ship Golden Bear, callSign, WTEU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WTEU
Context triple: [Training Ship Golden Bear, callSign, WTEU]
  • A. WTEF
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • B. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • C. Vetera
    Vetera was a major Roman legionary fortress and military base on the Rhine frontier in the province of Germania Inferior.
  • D. Ruswarp
    Ruswarp is a small village in North Yorkshire, England, situated near Whitby along the River Esk and known for its scenic countryside and heritage railway connections.
  • E. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • 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: WTEU
Triple: [Training Ship Golden Bear, callSign, WTEU]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WTEU
Target entity description: 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.
  • A. WTEF
    WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
  • B. UEW
    UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
  • C. Vetera
    Vetera was a major Roman legionary fortress and military base on the Rhine frontier in the province of Germania Inferior.
  • D. Ruswarp
    Ruswarp is a small village in North Yorkshire, England, situated near Whitby along the River Esk and known for its scenic countryside and heritage railway connections.
  • E. WÜ
    WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.