Triple
T11751663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPMI |
E279419
|
entity |
| Predicate | hostCanBe |
P36746
|
FINISHED |
| Object | 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: operating system | Statement: [DPMI, hostCanBe, operating system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCanBe Context triple: [DPMI, hostCanBe, operating system]
-
A.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
B.
mayBeHostedBy
Indicates that an entity has the possibility or option of being hosted or accommodated by another entity.
-
C.
hostStar
Indicates that one celestial object serves as the primary star around which another object, such as a planet or system, is associated or orbits.
-
D.
mayHost
chosen
Indicates that an entity is permitted or able to serve as the location or organizer for another entity or event.
-
E.
guestHosted
Indicates that one entity temporarily hosted or presented an event, show, or program in place of or alongside the usual host.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.