Triple
T1263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oN-Line System |
E25
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | NLS |
E25
|
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: NLS | Statement: [oN-Line System, alsoKnownAs, NLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLS Context triple: [oN-Line System, alsoKnownAs, NLS]
-
A.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
NACA
NACA (the National Advisory Committee for Aeronautics) was the U.S. government agency that conducted pioneering aeronautical research and served as the predecessor to NASA.
-
D.
oN-Line System
chosen
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
-
E.
Tymshare
Tymshare was an influential American time-sharing and computer services company active in the 1960s–1980s that helped pioneer remote computing and software services for businesses.
- 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_69a22a285828819081a58308fb963df1 |
completed | Feb. 27, 2026, 11:35 p.m. |
| NER | Named-entity recognition | batch_69a230c560548190a57df2421e233775 |
completed | Feb. 28, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a238e0dd0c8190999b824f8f32b9d0 |
completed | Feb. 28, 2026, 12:37 a.m. |
Created at: Feb. 27, 2026, 11:36 p.m.