Triple
T26838977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Diploma of Secondary Education curriculum |
E675716
|
entity |
| Predicate | firstCohortYear |
P145883
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Hong Kong Diploma of Secondary Education curriculum, firstCohortYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCohortYear Context triple: [Hong Kong Diploma of Secondary Education curriculum, firstCohortYear, 2012]
-
A.
hasFirstCohortYear
chosen
Indicates the year in which the first cohort associated with an entity began or was established.
-
B.
firstEngagementYear
Indicates the calendar year in which an entity first became engaged in a specified relationship, activity, or involvement.
-
C.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
D.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
E.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 27, 2026, 5:06 a.m.