Triple
T16957629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singapore University of Social Sciences School of Law |
E411345
|
entity |
| Predicate | jurisdictionOfTraining |
P125387
|
FINISHED |
| Object | Singapore legal system |
—
|
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: Singapore legal system | Statement: [Singapore University of Social Sciences School of Law, jurisdictionOfTraining, Singapore legal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jurisdictionOfTraining Context triple: [Singapore University of Social Sciences School of Law, jurisdictionOfTraining, Singapore legal system]
-
A.
countryOfTraining
Indicates the country in which an entity received its training or education.
-
B.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
C.
definedJurisdictionOf
Indicates that one entity formally establishes or specifies the scope, boundaries, or authority of another entity’s jurisdiction.
-
D.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
E.
previousTrainingLocation
Indicates the place where an entity received training immediately before the current or referenced training event.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01d34d08190a73ce48e9988bd97 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:31 a.m.