Triple
T7935837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM 3270-style terminal displays |
E184286
|
entity |
| Predicate | contrastWith |
P278
|
FINISHED |
| Object | DEC VT100 |
E229930
|
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: DEC VT100 | Statement: [IBM 3270-style terminal displays, contrastWith, DEC VT100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEC VT100 Context triple: [IBM 3270-style terminal displays, contrastWith, DEC VT100]
-
A.
VT100 terminal
chosen
The VT100 terminal is a widely influential video display terminal introduced by Digital Equipment Corporation in the late 1970s, known for popularizing ANSI escape codes and becoming a de facto standard for text-based computer interfaces.
-
B.
Terminal
Terminal is a 2018 neo-noir thriller film starring Margot Robbie, known for its stylized visuals and dark, twisting narrative.
-
C.
Terminal
Terminal is the built-in command-line interface application for macOS that allows users to interact with the operating system using text-based commands.
-
D.
VDU
VDU is the Lithuanian abbreviation for Vytautas Magnus University, a prominent public university in Kaunas, Lithuania.
-
E.
Terminal 2D
Terminal 2D is a passenger terminal at Paris Charles de Gaulle Airport, serving as one of the facilities handling flights and travelers at this major international hub.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0791e48190af18299c22f6a804 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.