Triple
T12516919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dtach |
E299211
|
entity |
| Predicate | commandLineInterface |
P1594
|
FINISHED |
| Object | dtach |
E299211
|
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: dtach | Statement: [dtach, commandLineInterface, dtach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dtach Context triple: [dtach, commandLineInterface, dtach]
-
A.
dtach
chosen
dtach is a lightweight Unix utility that lets users detach and reattach from terminal sessions, providing a minimal alternative to full-featured terminal multiplexers.
-
B.
MATE Terminal
MATE Terminal is the default terminal emulator for the MATE desktop environment, providing a lightweight, GNOME 2–style command-line interface.
-
C.
DTK
DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
-
D.
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.
-
E.
LXTerminal
LXTerminal is a lightweight, fast, and minimal terminal emulator designed for the LXDE desktop environment, optimized for low-resource systems.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.