Triple
T7661746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribhuvan International Airport |
E173521
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | VNKT |
E679986
|
NE FINISHED |
How this triple was built (2 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: VNKT | Statement: [Tribhuvan International Airport, hasCode, VNKT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VNKT Context triple: [Tribhuvan International Airport, hasCode, VNKT]
-
A.
VNKT
chosen
VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
-
B.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
C.
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.
-
D.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
E.
NG-KT
NG-KT is the ISO 3166-2 code that uniquely identifies Katsina State within Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 27, 2026, 3:59 p.m.