Triple
T30620570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCE Ordinary Level |
E779433
|
entity |
| Predicate | finalCohortExaminedYear |
P193719
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [GCE Ordinary Level, finalCohortExaminedYear, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalCohortExaminedYear Context triple: [GCE Ordinary Level, finalCohortExaminedYear, 1987]
-
A.
dataCollectionEndYear
Indicates the year in which a particular data collection activity or dataset stopped being collected.
-
B.
investigationYear
Indicates the specific calendar year in which an investigation takes place or is formally conducted.
-
C.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
D.
hasFirstCohortYear
Indicates the year in which the first cohort associated with an entity began or was established.
-
E.
finalReportSubmissionYear
Indicates the calendar year in which the final report is formally submitted.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 29, 2026, 8:27 p.m.