Triple

T6568271
Position Surface form Disambiguated ID Type / Status
Subject Salem Municipal Airport E153967 entity
Predicate IATA code P2569 FINISHED
Object SLE
SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
 E603129 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: SLE | Statement: [Salem Municipal Airport, IATA code, SLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLE
Context triple: [Salem Municipal Airport, IATA code, SLE]
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. SLE
    SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
  • C. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • D. Lupus
    Lupus is a small, faint constellation in the southern sky, traditionally depicted as a wolf or wild animal.
  • E. JIA
    JIA is the professional organization representing architects in Japan, responsible for promoting architectural standards, education, and cultural exchange in the field.
  • 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: SLE
Triple: [Salem Municipal Airport, IATA code, SLE]
Generated description
SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLE
Target entity description: SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • C. SLE
    SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
  • D. Lupus
    Lupus is a small, faint constellation in the southern sky, traditionally depicted as a wolf or wild animal.
  • E. JIA
    JIA is the professional organization representing architects in Japan, responsible for promoting architectural standards, education, and cultural exchange in the field.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae54afd4819091ee65aca1de60a9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d567ef7481908c700c3abe2863ae completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d843bad081909ebb887f32ea4195 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:53 p.m.