Triple

T8445490
Position Surface form Disambiguated ID Type / Status
Subject Åre Östersund Airport E199663 entity
Predicate hasIATAcode P2569 FINISHED
Object OSD
OSD is the IATA airport code for Åre Östersund Airport, a regional airport serving the Östersund area in central Sweden.
E734646 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: OSD | Statement: [Åre Östersund Airport, hasIATAcode, OSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OSD
Context triple: [Åre Östersund Airport, hasIATAcode, OSD]
  • A. OSA
    OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
  • B. OSD(A&S)
    OSD(A&S) is the U.S. Department of Defense organization responsible for overseeing defense acquisition, procurement, and sustainment of military systems and services.
  • C. OPSI
    OPSI is a former UK government body responsible for overseeing the re-use and licensing of public sector information and maintaining official publications.
  • D. OPSD
    OPSD is the ICAO airport code for Skardu Airport, a key domestic and tourism gateway in the Gilgit-Baltistan region of Pakistan.
  • E. OES
    OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
  • 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: OSD
Triple: [Åre Östersund Airport, hasIATAcode, OSD]
Generated description
OSD is the IATA airport code for Åre Östersund Airport, a regional airport serving the Östersund area in central Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OSD
Target entity description: OSD is the IATA airport code for Åre Östersund Airport, a regional airport serving the Östersund area in central Sweden.
  • A. OSA
    OSA is the abbreviation for the Office of the Secretary of the Army, the senior civilian leadership office overseeing administration and policy for the United States Army.
  • B. OSD(A&S)
    OSD(A&S) is the U.S. Department of Defense organization responsible for overseeing defense acquisition, procurement, and sustainment of military systems and services.
  • C. OPSI
    OPSI is a former UK government body responsible for overseeing the re-use and licensing of public sector information and maintaining official publications.
  • D. OPSD
    OPSD is the ICAO airport code for Skardu Airport, a key domestic and tourism gateway in the Gilgit-Baltistan region of Pakistan.
  • E. OES
    OES is the U.S. State Department bureau responsible for advancing American foreign policy on oceans, environment, science, technology, and health issues.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.