Triple
T20922306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheeling Ohio County Airport |
E515244
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KHLG
KHLG is the ICAO airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
|
E1457963
|
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: KHLG | Statement: [Wheeling Ohio County Airport, ICAOcode, KHLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KHLG Context triple: [Wheeling Ohio County Airport, ICAOcode, KHLG]
-
A.
KHLR
KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
-
B.
KHLN
KHLN is the ICAO airport code for Helena Regional Airport, a public airport serving Helena, Montana, in the United States.
-
C.
KGL
KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
-
D.
HLGD
HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
-
E.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
- 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: KHLG Triple: [Wheeling Ohio County Airport, ICAOcode, KHLG]
Generated description
KHLG is the ICAO 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: KHLG Target entity description: KHLG is the ICAO airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
-
A.
KHLR
KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
-
B.
KHLN
KHLN is the ICAO airport code for Helena Regional Airport, a public airport serving Helena, Montana, in the United States.
-
C.
KGL
KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
-
D.
HLGD
HLGD is the ICAO airport code assigned to Gardabya Airport in Libya.
-
E.
KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
- 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.