Triple
T20547124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Entrance Examination (JEE Advanced) |
E504497
|
entity |
| Predicate | paperCount |
P13769
|
FINISHED |
| Object | Paper 1 |
—
|
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: Paper 1 | Statement: [Joint Entrance Examination (JEE Advanced), paperCount, Paper 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paperCount Context triple: [Joint Entrance Examination (JEE Advanced), paperCount, Paper 1]
-
A.
numberOfPapers
chosen
Indicates the quantity of papers associated with a given entity.
-
B.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
-
C.
paperSelection
Indicates that an entity chooses or designates a specific paper from a set of available options.
-
D.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
-
E.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.