Triple
T1926039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OLPC OS |
E40832
|
entity |
| Predicate | fileManagementModel |
P33527
|
FINISHED |
| Object | journal |
—
|
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: journal | Statement: [OLPC OS, fileManagementModel, journal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileManagementModel Context triple: [OLPC OS, fileManagementModel, journal]
-
A.
fileManager
Indicates a relationship where an entity manages, organizes, or controls access to files or file-related operations for another entity.
-
B.
documentModel
Indicates that an entity serves as or is associated with a specific structured representation or schema of a document.
-
C.
filingMethod
Indicates how a document, record, or information is submitted or recorded, such as the process, channel, or format used for filing.
-
D.
archivesModel
Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
-
E.
fileUnder
Indicates that one item is categorized, classified, or stored within a particular folder, category, or organizational grouping.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb261ef8481909be2390ac5a02622 |
completed | March 7, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.