Triple
T16830434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annecy – Haute-Savoie – Mont Blanc Airport |
E409133
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
NCY
NCY is the IATA airport code for Annecy – Haute-Savoie – Mont Blanc Airport in southeastern France.
|
E1235564
|
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: NCY | Statement: [Annecy – Haute-Savoie – Mont Blanc Airport, IATAcode, NCY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NCY Context triple: [Annecy – Haute-Savoie – Mont Blanc Airport, IATAcode, NCY]
-
A.
nc
nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
-
B.
YN
YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
-
C.
NH
NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
-
D.
NH
NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
-
E.
NANC
NANC is the Ukrainian government’s National Antarctic Scientific Center, responsible for managing the country’s polar research and operations, including the Vernadsky Research Base.
- 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: NCY Triple: [Annecy – Haute-Savoie – Mont Blanc Airport, IATAcode, NCY]
Generated description
NCY is the IATA airport code for Annecy – Haute-Savoie – Mont Blanc Airport in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NCY Target entity description: NCY is the IATA airport code for Annecy – Haute-Savoie – Mont Blanc Airport in southeastern France.
-
A.
nc
nc is a versatile command-line networking utility (the Netcat program) used for reading from and writing to network connections, often called the "Swiss Army knife" of networking.
-
B.
YN
YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
-
C.
NH
NH is the two-letter IATA airline designator assigned to All Nippon Airways, Japan’s largest airline.
-
D.
NH
NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
-
E.
NANC
NANC is the Ukrainian government’s National Antarctic Scientific Center, responsible for managing the country’s polar research and operations, including the Vernadsky Research Base.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a2a5348190b14af8ab88a281b7 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b475236c8190a345b4c8d3c6cfcf |
completed | May 10, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b6dfbf448190b41bb7d103ddfc0a |
completed | May 10, 2026, 4:48 p.m. |
Created at: April 10, 2026, 5:23 a.m.