Triple
T33494526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore Chinese Girls' School |
E857830
|
entity |
| Predicate | specialProgramme |
P167779
|
FINISHED |
| Object | Special Assistance Plan |
—
|
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: Special Assistance Plan | Statement: [Singapore Chinese Girls' School, specialProgramme, Special Assistance Plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialProgramme Context triple: [Singapore Chinese Girls' School, specialProgramme, Special Assistance Plan]
-
A.
futureProgramme
Indicates that a programme is scheduled to occur at a future time relative to a given reference point.
-
B.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
-
C.
specialFeature
Indicates that an entity possesses a distinctive or noteworthy attribute, capability, or characteristic that sets it apart from others.
-
D.
domesticProgram
Indicates a program, initiative, or activity that operates within and is limited to a specific country’s internal context or territory.
-
E.
programOf
chosen
Indicates that one entity is a program (such as a course of study or curriculum) that is offered, managed, or associated with another entity (such as an institution, department, or organization).
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 1:38 a.m.