Triple
T9107829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCE Advanced Level |
E218520
|
entity |
| Predicate | firstYearComponent |
P86520
|
FINISHED |
| Object | AS level (in some systems) |
—
|
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: AS level (in some systems) | Statement: [GCE Advanced Level, firstYearComponent, AS level (in some systems)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstYearComponent Context triple: [GCE Advanced Level, firstYearComponent, AS level (in some systems)]
-
A.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
B.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
C.
firstTestYear
Indicates the year in which an entity’s first test or testing activity took place.
-
D.
firstCycleYear
Indicates the year in which the first cycle, phase, or iteration of a recurring process begins.
-
E.
firstCreationYear
Indicates the year in which something was first created or originally produced.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:16 p.m.