Triple
T29352928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natural Sciences Tripos |
E744361
|
entity |
| Predicate | PartIIEmphasis |
P35814
|
FINISHED |
| Object | single-subject specialization |
—
|
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: single-subject specialization | Statement: [Natural Sciences Tripos, PartIIEmphasis, single-subject specialization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PartIIEmphasis Context triple: [Natural Sciences Tripos, PartIIEmphasis, single-subject specialization]
-
A.
secondPartFocus
chosen
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
-
B.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
C.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
D.
secondPartMeaning
Indicates that something represents the latter or subsequent portion of a larger whole in terms of its meaning or semantic content.
-
E.
secondEditionFocus
Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 2:08 p.m.