Triple

T32179598
Position Surface form Disambiguated ID Type / Status
Subject United States Air Force enlisted rank structure E821944 entity
Predicate lowestPayGrade P6063 FINISHED
Object E-1
E-1 is the entry-level enlisted rank in the United States Air Force, typically held by newly recruited airmen at the start of their military careers.
 E1995094 NE FINISHED

How this triple was built (3 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: E-1 | Statement: [United States Air Force enlisted rank structure, lowestPayGrade, E-1]
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: E-1
Triple: [United States Air Force enlisted rank structure, lowestPayGrade, E-1]
Generated description
E-1 is the entry-level enlisted rank in the United States Air Force, typically held by newly recruited airmen at the start of their military careers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: lowestPayGrade
Context triple: [United States Air Force enlisted rank structure, lowestPayGrade, E-1]
  • A. lowestGrade
    Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
  • B. lowestRank chosen
    Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
  • C. lowestCategory
    Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
  • D. lowestOrder
    Indicates that one entity has the smallest or minimal order, rank, or priority relative to a set of comparable entities.
  • E. lowestScore
    Indicates that the associated value is the smallest (minimum) score among a set of scores.
  • F. None of above.

Provenance (6 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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba7bfcd0819099d652fc7db158b8 completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0be0fbe88190a1f34d8f161ca607 completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f15c01ddc8190917b27116de5192e completed June 14, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2f161bae0c81908f76582676bdf681 completed June 14, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:34 a.m.