Triple
T12611661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montréal/Saint-Hubert Airport |
E301138
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
YHU
YHU is the IATA airport code for Montréal/Saint-Hubert Airport, a regional airport serving the Montreal area in Quebec, Canada.
|
E993098
|
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: YHU | Statement: [Montréal/Saint-Hubert Airport, IATAcode, YHU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YHU Context triple: [Montréal/Saint-Hubert Airport, IATAcode, YHU]
-
A.
YHD
YHD is the IATA airport code for Dryden Regional Airport, a small regional airport serving the Dryden area in northwestern Ontario, Canada.
-
B.
YU
YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
-
C.
YOO
YOO is the IATA airport code for Oshawa Executive Airport in Oshawa, Ontario, Canada.
-
D.
YNU
YNU is a national research university in Yokohama, Japan, known for its programs in engineering, economics, business, and urban innovation.
-
E.
YUG
YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
- 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: YHU Triple: [Montréal/Saint-Hubert Airport, IATAcode, YHU]
Generated description
YHU is the IATA airport code for Montréal/Saint-Hubert Airport, a regional airport serving the Montreal area in Quebec, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YHU Target entity description: YHU is the IATA airport code for Montréal/Saint-Hubert Airport, a regional airport serving the Montreal area in Quebec, Canada.
-
A.
YHD
YHD is the IATA airport code for Dryden Regional Airport, a small regional airport serving the Dryden area in northwestern Ontario, Canada.
-
B.
YU
YU is the IATA airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
-
C.
YOO
YOO is the IATA airport code for Oshawa Executive Airport in Oshawa, Ontario, Canada.
-
D.
YNU
YNU is a national research university in Yokohama, Japan, known for its programs in engineering, economics, business, and urban innovation.
-
E.
YUG
YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed1044c8190bbe881d32a4bf29e |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f6617479ec819080eac67abc9bc435 |
completed | May 2, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:11 p.m.