Triple
T9848828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Segen Jacobs |
E239410
|
entity |
| Predicate | completionAsAcademicRequirementFor |
P90343
|
FINISHED |
| Object | doctoral degree |
—
|
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: doctoral degree | Statement: [Der Segen Jacobs, completionAsAcademicRequirementFor, doctoral degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completionAsAcademicRequirementFor Context triple: [Der Segen Jacobs, completionAsAcademicRequirementFor, doctoral degree]
-
A.
courseCondition
Indicates the prerequisite or required conditions that must be satisfied for a course to be taken or considered valid.
-
B.
coursePar
Indicates that two entities (such as paths, lines, or trajectories) run alongside each other in the same general direction without intersecting.
-
C.
courseLoad
Indicates the quantity or intensity of academic work (such as number of courses or credits) assigned to or undertaken by an individual or program.
-
D.
usesCourse
Indicates that one entity makes use of, applies, or relies on a particular course in some context or activity.
-
E.
admissionRequired
Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb371894c8190971ba497a2801521 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:34 p.m.