Triple

T8641107
Position Surface form Disambiguated ID Type / Status
Subject 1st Special Operations Wing E204649 entity
Predicate abbreviation P43 FINISHED
Object 1 SOW
1 SOW is a U.S. Air Force special operations wing based at Hurlburt Field, Florida, specializing in unconventional warfare, precision strike, and special operations support.
 E747355 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: 1 SOW | Statement: [1st Special Operations Wing, abbreviation, 1 SOW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 1 SOW
Context triple: [1st Special Operations Wing, abbreviation, 1 SOW]
  • A. SOW
    SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
  • B. SOP
    SOP is the National Rail station code for Southport railway station in Merseyside, England.
  • C. SOs
    SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
  • D. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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: 1 SOW
Triple: [1st Special Operations Wing, abbreviation, 1 SOW]
Generated description
1 SOW is a U.S. Air Force special operations wing based at Hurlburt Field, Florida, specializing in unconventional warfare, precision strike, and special operations support.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 1 SOW
Target entity description: 1 SOW is a U.S. Air Force special operations wing based at Hurlburt Field, Florida, specializing in unconventional warfare, precision strike, and special operations support.
  • A. SOW
    SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
  • B. SOP
    SOP is the National Rail station code for Southport railway station in Merseyside, England.
  • C. SOs
    SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
  • D. sot
    sot is the ISO 639-3 language code for Sesotho, a Southern Bantu language spoken primarily in Lesotho and South Africa.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47944d1c819081f448f14d04bf9d completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cebf12eec081909c40ccced9c1c52b completed April 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69cebf7302b08190bdfc84aac3147954 completed April 2, 2026, 7:11 p.m.
Created at: March 30, 2026, 6:28 p.m.