Triple
T21997543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSAT (General Studies Paper II) |
E543243
|
entity |
| Predicate | relationToGeneralStudiesPaperI |
P146216
|
FINISHED |
| Object | separate paper in prelims |
—
|
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: separate paper in prelims | Statement: [CSAT (General Studies Paper II), relationToGeneralStudiesPaperI, separate paper in prelims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToGeneralStudiesPaperI Context triple: [CSAT (General Studies Paper II), relationToGeneralStudiesPaperI, separate paper in prelims]
-
A.
relatedStudy
Indicates that one study is connected or relevant to another study, typically through shared topics, methods, or findings.
-
B.
relationshipToArticle41
Indicates the specific legal or contextual connection an entity has to Article 41 (such as being governed by, subject to, or derived from that article).
-
C.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
relevantToInstitution
Indicates that something has a meaningful connection, applicability, or significance to a particular institution.
-
E.
authorRelationshipToMainSubject
Indicates the nature of the connection or role the author has in relation to the main subject.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276774508190b96870266e10979a |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:19 p.m.