Triple

T5353180
Position Surface form Disambiguated ID Type / Status
Subject Gothenburg City Airport E102625 entity
Predicate IATAcode P418 FINISHED
Object GSE
GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
 E513333 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: GSE | Statement: [Gothenburg City Airport, IATAcode, GSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSE
Context triple: [Gothenburg City Airport, IATAcode, GSE]
  • A. GSE
    GSE is the abbreviation commonly used for the Stanford Graduate School of Education, a leading institution for research and training in education.
  • B. GSE
    GSE is the Graduate School of Education at Portland State University, offering programs that prepare educators, counselors, and leaders in the field of education.
  • C. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • D. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • E. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • 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: GSE
Triple: [Gothenburg City Airport, IATAcode, GSE]
Generated description
GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSE
Target entity description: GSE is the IATA airport code for Gothenburg City Airport, a regional airport serving the Gothenburg area in Sweden.
  • A. GSE
    GSE is the abbreviation commonly used for the Stanford Graduate School of Education, a leading institution for research and training in education.
  • B. GSE
    GSE is the Graduate School of Education at Portland State University, offering programs that prepare educators, counselors, and leaders in the field of education.
  • C. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • D. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • E. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf227781bc819083b8aba59618cc46 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf231d41848190b67de46bdbb38ab3 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.