Triple
T17229075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stuart Mill as logician |
E418195
|
entity |
| Predicate | positionOnInduction |
P126474
|
FINISHED |
| Object | induction justified by uniformity of nature |
—
|
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: induction justified by uniformity of nature | Statement: [John Stuart Mill as logician, positionOnInduction, induction justified by uniformity of nature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnInduction Context triple: [John Stuart Mill as logician, positionOnInduction, induction justified by uniformity of nature]
-
A.
hasInductionSchedule
Indicates that an entity is associated with a defined plan or timetable for its induction or onboarding process.
-
B.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
positionCoached
Indicates that one entity served as a coach for another entity in a specific position or role.
-
E.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df55e788190b442ffd4fac768c9 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:39 a.m.