Triple
T5739313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Forest Service Examination |
E126574
|
entity |
| Predicate | interviewType |
P48083
|
FINISHED |
| Object | personality test |
—
|
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: personality test | Statement: [Indian Forest Service Examination, interviewType, personality test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interviewType Context triple: [Indian Forest Service Examination, interviewType, personality test]
-
A.
isInterviewBased
chosen
Indicates that something (such as a study, article, or decision) is based primarily on information gathered through interviews.
-
B.
questionnaireType
Indicates the specific category or kind of questionnaire associated with an entity or interaction.
-
C.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
D.
interventionType
Indicates the specific kind or category of action, treatment, or measure applied in an intervention.
-
E.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
- 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_69c0083082288190b7478cead6b5430a |
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. |
Created at: March 22, 2026, 3:48 p.m.