Triple
T27129964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAGPS Rugby competition |
E681536
|
entity |
| Predicate | memberSchools |
P118054
|
FINISHED |
| Object | The King’s School, Parramatta |
—
|
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: The King’s School, Parramatta | Statement: [AAGPS Rugby competition, memberSchools, The King’s School, Parramatta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberSchools Context triple: [AAGPS Rugby competition, memberSchools, The King’s School, Parramatta]
-
A.
memberSchoolsAre
chosen
Indicates that certain schools belong to or are included as members within a larger group, organization, or system.
-
B.
memberCollege
Indicates that a college is a constituent or affiliated unit within a larger organization, such as a university or educational system.
-
C.
hasAffiliatedSchoolsIn
Indicates that an entity maintains formal affiliations or partnerships with schools located in a specified place or region.
-
D.
formerMemberSchool
Indicates that an entity was previously a member of a particular school but is no longer affiliated as a member.
-
E.
partnerSchool
Indicates a formal collaborative relationship between two educational institutions, typically involving shared programs, resources, or exchange activities.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 9:03 a.m.