Triple
T16485789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Centrale |
E400434
|
entity |
| Predicate | hasIataCode |
P2569
|
FINISHED |
| Object |
YMY
YMY is the IATA airport code for Montreal's Gare Centrale, a central rail station in Quebec, Canada, used for certain air-rail and ticketing designations.
|
E1216118
|
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: YMY | Statement: [Gare Centrale, hasIataCode, YMY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YMY Context triple: [Gare Centrale, hasIataCode, YMY]
-
A.
YM
YM is the Finnish Ministry of the Environment, the government body responsible for environmental policy, nature conservation, and sustainable development in Finland.
-
B.
YHM
YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
-
C.
RMY
RMY is the IATA airport code for Harbor Springs Municipal Airport in Harbor Springs, Michigan, United States.
-
D.
YMAY
YMAY is the ICAO airport code for Albury Airport, a regional airport serving the city of Albury in New South Wales, Australia.
-
E.
YMIA
YMIA is the ICAO airport code assigned to Mildura Airport in Victoria, Australia.
- 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: YMY Triple: [Gare Centrale, hasIataCode, YMY]
Generated description
YMY is the IATA airport code for Montreal's Gare Centrale, a central rail station in Quebec, Canada, used for certain air-rail and ticketing designations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YMY Target entity description: YMY is the IATA airport code for Montreal's Gare Centrale, a central rail station in Quebec, Canada, used for certain air-rail and ticketing designations.
-
A.
YM
YM is the Finnish Ministry of the Environment, the government body responsible for environmental policy, nature conservation, and sustainable development in Finland.
-
B.
YHM
YHM is the IATA airport code for John C. Munro Hamilton International Airport, a regional passenger and cargo airport serving the Hamilton, Ontario area in Canada.
-
C.
RMY
RMY is the IATA airport code for Harbor Springs Municipal Airport in Harbor Springs, Michigan, United States.
-
D.
YMAY
YMAY is the ICAO airport code for Albury Airport, a regional airport serving the city of Albury in New South Wales, Australia.
-
E.
YMIA
YMIA is the ICAO airport code assigned to Mildura Airport in Victoria, Australia.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582275308190a0fb3944d74916cf |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058a1c51c81908f49db448a4d0365 |
completed | May 10, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00595837c4819093f1a1a35185bc4b |
completed | May 10, 2026, 10:09 a.m. |
Created at: April 10, 2026, 5:13 a.m.