Triple
T34955980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emacs ediff |
E1008122
|
entity |
| Predicate | documentationNode |
P156371
|
FINISHED |
| Object | (info "ediff") |
—
|
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: (info "ediff") | Statement: [Emacs ediff, documentationNode, (info "ediff")]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentationNode Context triple: [Emacs ediff, documentationNode, (info "ediff")]
-
A.
documentationUI
Indicates a relationship where a user interface element is used to present, navigate, or interact with documentation content.
-
B.
documentationContext
Indicates the situational or surrounding information in which documentation is created, used, or interpreted.
-
C.
documentationSection
Indicates that one entity is a specific section or subdivision within the documentation of another entity.
-
D.
documentationName
Indicates the name or title assigned to a specific piece of documentation.
-
E.
DOC
chosen
Indicates that one entity is a document associated with, produced by, or describing another entity.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4 p.m.