Triple
T5739653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Class Railway Apprentices examination |
E126581
|
entity |
| Predicate | candidateBackground |
P65572
|
FINISHED |
| Object | science stream at higher secondary level |
—
|
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: science stream at higher secondary level | Statement: [Special Class Railway Apprentices examination, candidateBackground, science stream at higher secondary level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidateBackground Context triple: [Special Class Railway Apprentices examination, candidateBackground, science stream at higher secondary level]
-
A.
candidateFor
Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
-
B.
candidateVettingBy
Indicates that a candidate is being evaluated, screened, or vetted by a specified person, group, or process.
-
C.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
-
D.
professionOfCandidate
Indicates that one entity is the profession or occupational role held by the candidate entity.
-
E.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.