Triple
T28653209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | සීලෝන් රජය |
E725255
|
entity |
| Predicate | administeredSector |
P155771
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [සීලෝන් රජය, administeredSector, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administeredSector Context triple: [සීලෝන් රජය, administeredSector, education]
-
A.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
B.
partOfAdministration
Indicates that an entity belongs to, is included within, or is a constituent component of a particular administrative body, structure, or system.
-
C.
sectorGoverned
chosen
Indicates that a particular sector or domain is under the authority, control, or regulatory oversight of a specified governing entity.
-
D.
administersFor
Indicates that one entity provides or applies something (such as a treatment, service, or resource) on behalf of or for the benefit of another entity.
-
E.
administeredFor
Indicates that something (typically a treatment, medication, or intervention) is given or applied to an entity for a specific purpose, condition, or intended effect.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 28, 2026, 4:53 a.m.