Triple
T2889785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eshell |
E59589
|
entity |
| Predicate | tightlyCoupledWith |
P22536
|
FINISHED |
| Object | Emacs workflows |
—
|
LITERAL 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: Emacs workflows | Statement: [Eshell, tightlyCoupledWith, Emacs workflows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tightlyCoupledWith Context triple: [Eshell, tightlyCoupledWith, Emacs workflows]
-
A.
hasCoupling
chosen
Indicates that two entities are linked or joined together in a way that allows them to interact, transfer, or coordinate motion, energy, or information.
-
B.
hasCouplingConstant
Indicates that one entity is associated with a specific coupling constant value that quantifies the strength of an interaction or relationship.
-
C.
entangledWith
Indicates a mutual state in which two or more entities are so interconnected that a change or condition in one inherently affects or constrains the other(s).
-
D.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
E.
bindsTo
Indicates that one entity physically or functionally attaches or connects to another, often with some specificity or selectivity in the interaction.
- F. None of above.
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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04a68ac8190aaeafe52138beb74 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:04 p.m.