Triple
T8687058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenzing-Hillary Airport |
E206187
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LUA
LUA is the IATA airport code for Tenzing-Hillary Airport, the small but famous gateway to Nepal’s Everest region.
|
E752425
|
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: LUA | Statement: [Tenzing-Hillary Airport, IATAcode, LUA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LUA Context triple: [Tenzing-Hillary Airport, IATAcode, LUA]
-
A.
Lua
"Lua" is a folk-influenced song by Bright Eyes, known for its stark, intimate portrayal of loneliness and addiction.
-
B.
Lua
Lua is a lightweight, embeddable scripting language widely used for game development, configuration, and extending applications.
-
C.
LuaJIT
LuaJIT is a high-performance just-in-time compiler and runtime for the Lua programming language, designed to provide significantly faster execution while maintaining compatibility with standard Lua.
-
D.
Roblox (via a dialect, Luau)
Roblox (via a dialect, Luau) is an online game creation and gaming platform where users can build, script, and share interactive 3D experiences using the Luau programming language.
-
E.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
- 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: LUA Triple: [Tenzing-Hillary Airport, IATAcode, LUA]
Generated description
LUA is the IATA airport code for Tenzing-Hillary Airport, the small but famous gateway to Nepal’s Everest region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LUA Target entity description: LUA is the IATA airport code for Tenzing-Hillary Airport, the small but famous gateway to Nepal’s Everest region.
-
A.
Lua
"Lua" is a folk-influenced song by Bright Eyes, known for its stark, intimate portrayal of loneliness and addiction.
-
B.
Lua
Lua is a lightweight, embeddable scripting language widely used for game development, configuration, and extending applications.
-
C.
LuaJIT
LuaJIT is a high-performance just-in-time compiler and runtime for the Lua programming language, designed to provide significantly faster execution while maintaining compatibility with standard Lua.
-
D.
Roblox (via a dialect, Luau)
Roblox (via a dialect, Luau) is an online game creation and gaming platform where users can build, script, and share interactive 3D experiences using the Luau programming language.
-
E.
Mono language
Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
- 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_69cf288acb348190829e149a9089a0a1 |
completed | April 3, 2026, 2:40 a.m. |
| NEDg | Description generation | batch_69cf2bcff84881908a7985fdf8189583 |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2ca1ddac8190a36367e6bba8e3c8 |
completed | April 3, 2026, 2:57 a.m. |
Created at: March 30, 2026, 6:33 p.m.