Triple
T25909993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delhi University LL.M. Entrance Test |
E652864
|
entity |
| Predicate | degreeAwardedUponAdmission |
P154672
|
FINISHED |
| Object | Master of Laws |
—
|
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: Master of Laws | Statement: [Delhi University LL.M. Entrance Test, degreeAwardedUponAdmission, Master of Laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeAwardedUponAdmission Context triple: [Delhi University LL.M. Entrance Test, degreeAwardedUponAdmission, Master of Laws]
-
A.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
B.
grantsDegreeThrough
Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
-
C.
degreeOutcome
chosen
Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
-
D.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
E.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603c450e88190b6bb85debfac30e4 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:28 a.m.