Triple

T6346309
Position Surface form Disambiguated ID Type / Status
Subject Lānaʻi Airport E142752 entity
Predicate IATAcode P418 FINISHED
Object LNY
LNY is the IATA airport code for Lānaʻi Airport, the primary air gateway to the Hawaiian island of Lānaʻi.
 E586325 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: LNY | Statement: [Lānaʻi Airport, IATAcode, LNY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNY
Context triple: [Lānaʻi Airport, IATAcode, LNY]
  • A. VNY
    VNY is the IATA code for Van Nuys Airport, a major general aviation airport located in the San Fernando Valley area of Los Angeles, California.
  • B. N.D.N.Y.
    N.D.N.Y. is the standard abbreviation for the United States District Court for the Northern District of New York, a federal trial court within the Second Circuit.
  • C. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • D. XNYS
    XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
  • E. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • 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: LNY
Triple: [Lānaʻi Airport, IATAcode, LNY]
Generated description
LNY is the IATA airport code for Lānaʻi Airport, the primary air gateway to the Hawaiian island of Lānaʻi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNY
Target entity description: LNY is the IATA airport code for Lānaʻi Airport, the primary air gateway to the Hawaiian island of Lānaʻi.
  • A. VNY
    VNY is the IATA code for Van Nuys Airport, a major general aviation airport located in the San Fernando Valley area of Los Angeles, California.
  • B. N.D.N.Y.
    N.D.N.Y. is the standard abbreviation for the United States District Court for the Northern District of New York, a federal trial court within the Second Circuit.
  • C. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • D. XNYS
    XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
  • E. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b907c4819085a3ea87589bc4be completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604454fd48190972476a0929dfb9d completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6059ad89881909599c61f293791cc completed March 27, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6065044908190b2ba71490a3bae54 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:31 p.m.