Triple
T272574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus Notes |
E5666
|
entity |
| Predicate | fileFormat |
P130
|
FINISHED |
| Object | .nsf |
—
|
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: .nsf | Statement: [Lotus Notes, fileFormat, .nsf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileFormat Context triple: [Lotus Notes, fileFormat, .nsf]
-
A.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
C.
dataTransferType
Indicates the method or mode by which data is transmitted or exchanged between entities.
-
D.
machineReadable
Indicates that something is in a format that can be automatically processed or interpreted by a computer without human intervention.
-
E.
majorBrand
Indicates that the subject is a primary, widely recognized, or leading brand within its market or category in relation to the object.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7345c4819086c21710864a1b42 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.