Triple

T20922305
Position Surface form Disambiguated ID Type / Status
Subject Wheeling Ohio County Airport E515244 entity
Predicate IATAcode P418 FINISHED
Object HLG
HLG is the IATA airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
E1457962 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: HLG | Statement: [Wheeling Ohio County Airport, IATAcode, HLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HLG
Context triple: [Wheeling Ohio County Airport, IATAcode, HLG]
  • A. HLU
    HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • B. HLGD
    HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
  • C. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • D. HOL
    HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
  • E. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • 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: HLG
Triple: [Wheeling Ohio County Airport, IATAcode, HLG]
Generated description
HLG is the IATA airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HLG
Target entity description: HLG is the IATA airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
  • A. HLU
    HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • B. HLGD
    HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
  • C. HLF
    HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • D. HOL
    HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
  • E. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f64f767481909deccd77b50bf4ae completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fc8ddc88190b863f952ecfba75b completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a0920fa7e488190b92045b9bd619bba completed May 17, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09216f7b188190b327efe8e4cceae1 completed May 17, 2026, 2:01 a.m.
Created at: April 16, 2026, 12:49 p.m.