Triple

T9229657
Position Surface form Disambiguated ID Type / Status
Subject Ladysmith Airport E221782 entity
Predicate IATAcode P418 FINISHED
Object LAY
LAY is the IATA airport code for Ladysmith Airport, a regional airport serving the town of Ladysmith in South Africa.
 E786927 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: LAY | Statement: [Ladysmith Airport, IATAcode, LAY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAY
Context triple: [Ladysmith Airport, IATAcode, LAY]
  • A. Lay
    Lay is a surname most prominently associated with Kenneth Lay, the former CEO of Enron who was a central figure in one of the largest corporate fraud scandals in U.S. history.
  • B. Ly
    Ly is a short, diminutive form of the given name Lyman.
  • C. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • D. LY
    LY is the commonly used abbreviation for Taiwan’s unicameral parliament, the Legislative Yuan.
  • E. LAG
    LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
  • 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: LAY
Triple: [Ladysmith Airport, IATAcode, LAY]
Generated description
LAY is the IATA airport code for Ladysmith Airport, a regional airport serving the town of Ladysmith in South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAY
Target entity description: LAY is the IATA airport code for Ladysmith Airport, a regional airport serving the town of Ladysmith in South Africa.
  • A. Lay
    Lay is a surname most prominently associated with Kenneth Lay, the former CEO of Enron who was a central figure in one of the largest corporate fraud scandals in U.S. history.
  • B. Ly
    Ly is a short, diminutive form of the given name Lyman.
  • C. LY
    LY is the IATA airline designator for El Al, the flag carrier of Israel.
  • D. LY
    LY is the commonly used abbreviation for Taiwan’s unicameral parliament, the Legislative Yuan.
  • E. LAG
    LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa1c5b4819081dac6713053a8ae completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d07a23205881909d96450759016e94 completed April 4, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69d07aaf06a08190b721e4b3f5a65c29 completed April 4, 2026, 2:42 a.m.
Created at: March 30, 2026, 7:29 p.m.