Triple

T7153083
Position Surface form Disambiguated ID Type / Status
Subject Go Fly E166740 entity
Predicate ICAO code P419 FINISHED
Object GOE
GOE is the ICAO airline designator assigned to the former British low-cost carrier Go Fly.
E644851 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: GOE | Statement: [Go Fly, ICAO code, GOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOE
Context triple: [Go Fly, ICAO code, GOE]
  • A.
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • B. Gae
    Gae is the given name of Gae Aulenti, a renowned Italian architect and designer known for her innovative museum and interior designs.
  • C. GOC
    GOC is the standardised set of spelling and writing rules used for modern Scottish Gaelic.
  • D. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • E. OGE
    OGE is the U.S. Office of Government Ethics, the federal agency responsible for overseeing and promoting ethical conduct within the executive branch of the U.S. government.
  • 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: GOE
Triple: [Go Fly, ICAO code, GOE]
Generated description
GOE is the ICAO airline designator assigned to the former British low-cost carrier Go Fly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GOE
Target entity description: GOE is the ICAO airline designator assigned to the former British low-cost carrier Go Fly.
  • A.
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • B. Gae
    Gae is the given name of Gae Aulenti, a renowned Italian architect and designer known for her innovative museum and interior designs.
  • C. GOC
    GOC is the standardised set of spelling and writing rules used for modern Scottish Gaelic.
  • D. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • E. OGE
    OGE is the U.S. Office of Government Ethics, the federal agency responsible for overseeing and promoting ethical conduct within the executive branch of the U.S. government.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.