Triple
T11620448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Eligibility Test |
E275621
|
entity |
| Predicate | paperIIFocus |
P65567
|
FINISHED |
| Object | subject-specific knowledge |
—
|
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: subject-specific knowledge | Statement: [National Eligibility Test, paperIIFocus, subject-specific knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paperIIFocus Context triple: [National Eligibility Test, paperIIFocus, subject-specific knowledge]
-
A.
paper2Type
chosen
Indicates that a given paper is associated with, or classified as, a specific type or category of paper.
-
B.
hasEditorialFocus
Indicates that an entity (such as a publication or section) is primarily concerned with or oriented around a particular editorial topic, theme, or subject area.
-
C.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
-
D.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
-
E.
book2Focus
Indicates that attention, interest, or emphasis is directed toward a particular book.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.