Triple
T10161018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Mahmud Airport |
E233889
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
TGG
TGG is the IATA airport code for Sultan Mahmud Airport, which serves Kuala Terengganu in Malaysia.
|
E845525
|
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: TGG | Statement: [Sultan Mahmud Airport, IATAcode, TGG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGG Context triple: [Sultan Mahmud Airport, IATAcode, TGG]
-
A.
ZGGG
ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
-
B.
GGC
GGC is the abbreviation for the Gulf of Guinea Commission, a regional organization that promotes cooperation and security among states bordering the Gulf of Guinea in West and Central Africa.
-
C.
DGG
DGG is the station code for Dungog railway station in New South Wales, Australia.
-
D.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
E.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
- 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: TGG Triple: [Sultan Mahmud Airport, IATAcode, TGG]
Generated description
TGG is the IATA airport code for Sultan Mahmud Airport, which serves Kuala Terengganu in Malaysia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGG Target entity description: TGG is the IATA airport code for Sultan Mahmud Airport, which serves Kuala Terengganu in Malaysia.
-
A.
ZGGG
ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
-
B.
GGC
GGC is the abbreviation for the Gulf of Guinea Commission, a regional organization that promotes cooperation and security among states bordering the Gulf of Guinea in West and Central Africa.
-
C.
DGG
DGG is the station code for Dungog railway station in New South Wales, Australia.
-
D.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
E.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec59b01081908be6ca37dc575465 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300c2651c8190a80c933002ac62e8 |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d30254aabc8190966a4398c59a851e |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d30305924c8190998cbefa372dca9a |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:09 p.m.