Triple
T8287290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardware and Sound |
E193814
|
entity |
| Predicate | includesSubsection |
P37078
|
FINISHED |
| Object | Devices and Printers |
—
|
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: Devices and Printers | Statement: [Hardware and Sound, includesSubsection, Devices and Printers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSubsection Context triple: [Hardware and Sound, includesSubsection, Devices and Printers]
-
A.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
B.
hasSectionIn
chosen
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
C.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
-
D.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
E.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad4b2008190ad1624e1335147c6 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.