Triple
T7922529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jomsom |
E183979
|
entity |
| Predicate | airportICAO |
P419
|
FINISHED |
| Object |
VNJS
VNJS is the ICAO airport code for Jomsom Airport, a domestic airfield serving the town of Jomsom in Nepal's Mustang District.
|
E697967
|
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: VNJS | Statement: [Jomsom, airportICAO, VNJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VNJS Context triple: [Jomsom, airportICAO, VNJS]
-
A.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
B.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
C.
VNKT
VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
-
D.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
E.
VN
VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
- 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: VNJS Triple: [Jomsom, airportICAO, VNJS]
Generated description
VNJS is the ICAO airport code for Jomsom Airport, a domestic airfield serving the town of Jomsom in Nepal's Mustang District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VNJS Target entity description: VNJS is the ICAO airport code for Jomsom Airport, a domestic airfield serving the town of Jomsom in Nepal's Mustang District.
-
A.
VVNB
VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
B.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
C.
VNKT
VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
-
D.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
E.
VN
VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aaadd1c8190971f2a6c7636cae4 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf3c3288190ac3df917be92f9f8 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f222c808190b9ef39896f149278 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76c896c08190a67a5b572436f2d9 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:06 p.m.