Triple
T8687059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenzing-Hillary Airport |
E206187
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VNLK
VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
|
E750611
|
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: VNLK | Statement: [Tenzing-Hillary Airport, ICAOcode, VNLK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VNLK Context triple: [Tenzing-Hillary Airport, ICAOcode, VNLK]
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
VLKK
VLKK is the abbreviation for the State Commission of the Lithuanian Language, the official regulatory body overseeing the Lithuanian language.
-
C.
NLK
NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
-
D.
VILK
VILK is the ICAO airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
-
E.
LVRN
LVRN (Love Renaissance) is an Atlanta-based music collective and record label known for managing and developing prominent R&B and hip-hop artists.
- 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: VNLK Triple: [Tenzing-Hillary Airport, ICAOcode, VNLK]
Generated description
VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VNLK Target entity description: VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
VLKK
VLKK is the abbreviation for the State Commission of the Lithuanian Language, the official regulatory body overseeing the Lithuanian language.
-
C.
NLK
NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
-
D.
VILK
VILK is the ICAO airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
-
E.
LVRN
LVRN (Love Renaissance) is an Atlanta-based music collective and record label known for managing and developing prominent R&B and hip-hop artists.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3cd888c81909fb1ece99988db36 |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:33 p.m.