Triple
T8248154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nmap |
E192896
|
entity |
| Predicate | writtenIn |
P12727
|
FINISHED |
| Object | Lua |
E95187
|
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: Lua | Statement: [Nmap, writtenIn, Lua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lua Context triple: [Nmap, writtenIn, Lua]
-
A.
Lua
chosen
Lua is a lightweight, embeddable scripting language widely used for game development, configuration, and extending applications.
-
B.
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.
-
C.
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.
-
D.
LuaTeX
LuaTeX is an extended TeX-based typesetting engine that embeds the Lua scripting language to provide powerful programmability and advanced typographic features beyond traditional LaTeX workflows.
-
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.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c6b3c48190a3ecebf449766124 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd680b0f608190b69336228346b47d |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:48 p.m.