Triple

T46250
Position Surface form Disambiguated ID Type / Status
Subject Manchester Airport E906 entity
Predicate IATAcode P418 FINISHED
Object MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
 E3870 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: MAN | Statement: [Manchester Airport, IATAcode, MAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAN
Context triple: [Manchester Airport, IATAcode, MAN]
  • A. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • B. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. OM
    OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
  • 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: MAN
Triple: [Manchester Airport, IATAcode, MAN]
Generated description
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAN
Target entity description: MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • A. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • B. NAM
    NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Carl
    Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24af153b08190b0875b86d591d473 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e659ac48190a11b70a85867d784 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24eff3f0881909b46502175682d99 completed Feb. 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69a2542d9b388190bcc4581c3b79aa51 completed Feb. 28, 2026, 2:34 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.