Triple
T24424240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agaléga |
E615811
|
entity |
| Predicate | usesEducationSystemOf |
P124658
|
FINISHED |
| Object | Mauritius |
—
|
NE NERFINISHED |
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: Mauritius | Statement: [Agaléga, usesEducationSystemOf, Mauritius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEducationSystemOf Context triple: [Agaléga, usesEducationSystemOf, Mauritius]
-
A.
isInEducationalSystemOf
chosen
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
-
B.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
C.
hasOwnEducationSystem
Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
-
D.
containsEducationalInstitution
Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
-
E.
operatesInSchoolSystem
Indicates that an entity carries out its functions or activities within a particular school system or educational district.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a4e3e4819094ac0941da5ca641 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:14 a.m.