Triple

T5596458
Position Surface form Disambiguated ID Type / Status
Subject SEAL Qualification Training E147009 entity
Predicate shortName P43 FINISHED
Object SQT
SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
 E536825 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: SQT | Statement: [SEAL Qualification Training, shortName, SQT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SQT
Context triple: [SEAL Qualification Training, shortName, SQT]
  • A. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • B. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • C. SETSqx
    SETSqx is a hybrid electronic trading service on the London Stock Exchange that combines periodic auctions with continuous quote-driven market making for less liquid securities.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. SVQ
    SVQ is the IATA airport code for Seville Airport, the main international airport serving Seville and the Andalusia region in southern Spain.
  • 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: SQT
Triple: [SEAL Qualification Training, shortName, SQT]
Generated description
SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SQT
Target entity description: SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
  • A. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • B. SQ3
    SQ3 is a designated quadrant within the Southern Cross region, used for organizing and referencing a specific area of the sky.
  • C. SETSqx
    SETSqx is a hybrid electronic trading service on the London Stock Exchange that combines periodic auctions with continuous quote-driven market making for less liquid securities.
  • D. SUT
    SUT is the commonly used abbreviation for Sharif University of Technology, a leading science and engineering university in Iran.
  • E. SVQ
    SVQ is the IATA airport code for Seville Airport, the main international airport serving Seville and the Andalusia region in southern Spain.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bf77cc8190b8ca473c3a2e1d28 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d3be1bc8190a5cdc1bf694356a6 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e88680c8190845723f52c060fb7 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7856848190a835c3ee0a32f649 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:38 p.m.