Triple
T30314833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network Attached Storage |
E771031
|
entity |
| Predicate | oftenRuns |
P182766
|
FINISHED |
| Object | embedded operating system |
—
|
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: embedded operating system | Statement: [Network Attached Storage, oftenRuns, embedded operating system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenRuns Context triple: [Network Attached Storage, oftenRuns, embedded operating system]
-
A.
runsMostly
Indicates that an entity performs running as its primary or most frequent activity compared to other activities.
-
B.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
C.
runs
Indicates that an entity moves swiftly on foot, typically using its legs in a continuous, rapid motion.
-
D.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
E.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
- F. None of above. chosen
Provenance (4 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: April 29, 2026, 7:51 p.m.