Triple
T25909977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delhi University LL.M. Entrance Test |
E652864
|
entity |
| Predicate | applicantBackground |
P65572
|
FINISHED |
| Object | law graduates |
—
|
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: law graduates | Statement: [Delhi University LL.M. Entrance Test, applicantBackground, law graduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicantBackground Context triple: [Delhi University LL.M. Entrance Test, applicantBackground, law graduates]
-
A.
candidateBackground
chosen
Indicates that there is information or context describing a candidate’s prior experience, qualifications, or history.
-
B.
typicalApplicantBackground
Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
-
C.
academicProfile
Indicates the relationship that captures an entity’s academic background, qualifications, and scholarly activities or achievements.
-
D.
careerBlocks
Indicates that one entity’s career progress is obstructed, hindered, or limited by another entity or factor.
-
E.
basisOfQualification
Indicates that something serves as the underlying reason, criterion, or evidence for a particular qualification or eligibility.
- 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_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 22, 2026, 8:28 a.m.