Triple
T7661745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribhuvan International Airport |
E173521
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object |
KTM
KTM is the IATA airport code for Tribhuvan International Airport, the main international gateway to Kathmandu, Nepal.
|
E680624
|
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: KTM | Statement: [Tribhuvan International Airport, hasCode, KTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTM Context triple: [Tribhuvan International Airport, hasCode, KTM]
-
A.
KTM
KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
-
B.
Aprilia
Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
-
C.
Aprilia
Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
E.
Ducati
Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
- 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: KTM Triple: [Tribhuvan International Airport, hasCode, KTM]
Generated description
KTM is the IATA airport code for Tribhuvan International Airport, the main international gateway to Kathmandu, Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTM Target entity description: KTM is the IATA airport code for Tribhuvan International Airport, the main international gateway to Kathmandu, Nepal.
-
A.
KTM
KTM is an Austrian motorcycle manufacturer renowned for its high-performance racing and off-road bikes, including its factory team participation in MotoGP.
-
B.
Aprilia
Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
-
C.
Aprilia
Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
-
D.
Kawasaki
Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
-
E.
Ducati
Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a6029c819082b467f028d59655 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a2206664819085c6825e63eadd6f |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a2bc757c81909416e06cc53150ca |
completed | March 29, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a35d59d48190b486b4405d428469 |
completed | March 29, 2026, 3:58 a.m. |
Created at: March 27, 2026, 3:59 p.m.