Triple
T13896015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Certificate of Secondary Education |
E334088
|
entity |
| Predicate | examinationFrequency |
P93054
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [Indian Certificate of Secondary Education, examinationFrequency, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examinationFrequency Context triple: [Indian Certificate of Secondary Education, examinationFrequency, annual]
-
A.
inspectionFrequency
chosen
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
B.
appointmentFrequency
Indicates how often appointments are scheduled or expected to occur within a given time period.
-
C.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
D.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
-
E.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.