Triple
T12506449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctoral Networks |
E298959
|
entity |
| Predicate | doctoralContractDuration |
P49391
|
FINISHED |
| Object | typically 36 months per doctoral candidate |
—
|
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: typically 36 months per doctoral candidate | Statement: [Doctoral Networks, doctoralContractDuration, typically 36 months per doctoral candidate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctoralContractDuration Context triple: [Doctoral Networks, doctoralContractDuration, typically 36 months per doctoral candidate]
-
A.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
B.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
C.
residencyDuration
Indicates the length of time an entity has continuously resided or stayed in a particular place or jurisdiction.
-
D.
primaryDurationOfStudy
chosen
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfddf38819099263b8b1e804736 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d43b7008190af2648fe09fd6d23 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.