Triple
T1783723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rules for the Direction of the Mind |
E39342
|
entity |
| Predicate | numberOfRulesCompleted |
P32355
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Rules for the Direction of the Mind, numberOfRulesCompleted, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRulesCompleted Context triple: [Rules for the Direction of the Mind, numberOfRulesCompleted, 21]
-
A.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
B.
isComplete
Indicates that an action, process, or object has finished all required steps or reached its final state with nothing remaining to be done.
-
C.
numberOfProblems
Indicates the quantity or count of problems associated with a given entity or situation.
-
D.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
E.
numberOfQuestions
Indicates the total count of questions associated with or contained in a given entity or context.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab75444d28819091c393e62fc97f82 |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:31 p.m.