Triple
T36794658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Film Academy |
E909149
|
entity |
| Predicate | hasInternationalCampusIn |
P71591
|
FINISHED |
| Object | Gold Coast, Australia |
—
|
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: Gold Coast, Australia | Statement: [New York Film Academy, hasInternationalCampusIn, Gold Coast, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalCampusIn Context triple: [New York Film Academy, hasInternationalCampusIn, Gold Coast, Australia]
-
A.
isAbroadCampusOf
Indicates that one campus is a geographically separate, foreign-location branch of a primary institution or main campus.
-
B.
hasBranchCampusCountry
chosen
Indicates that an educational institution maintains at least one branch campus located in the specified country.
-
C.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
D.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
-
E.
hasAdditionalCampus
Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00c486d394819084fe93d5bb11ea1e |
completed | May 10, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_6a00c39d99d48190a94bfa057213499c |
completed | May 10, 2026, 5:42 p.m. |
Created at: May 3, 2026, 4:12 p.m.