Triple
T9018526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NXC |
E215653
|
entity |
| Predicate | abbreviationOf |
P590
|
FINISHED |
| Object | Not eXactly C |
E773021
|
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: Not eXactly C | Statement: [NXC, abbreviationOf, Not eXactly C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Not eXactly C Context triple: [NXC, abbreviationOf, Not eXactly C]
-
A.
Not eXactly C
chosen
Not eXactly C (NXC) is a high-level programming language similar to C that is used primarily for programming LEGO Mindstorms NXT robots.
-
B.
The Code
"The Code" is a poem by Robert Frost featured in his collection *North of Boston*, reflecting his characteristic exploration of rural New England life and moral complexity.
-
C.
C's
C's is a common nickname for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
D.
Not I
"Not I" is a short, intense monologue play by Samuel Beckett, renowned for its fragmented language and staging that focuses almost exclusively on a disembodied mouth delivering a rapid torrent of speech.
-
E.
On to C (programming book)
"On to C" is a programming book by Patrick Henry Winston that introduces and teaches the C language with an emphasis on clear explanations and practical examples for learners.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a4085848190a6aa440e6307e93d |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb7117c48190a9dca7bbdabe9e3d |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:07 p.m.