Triple
T1520785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Inns |
E32220
|
entity |
| Predicate | hasCampusUse |
P2465
|
FINISHED |
| Object | legal 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: legal education | Statement: [King's Inns, hasCampusUse, legal education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusUse Context triple: [King's Inns, hasCampusUse, legal education]
-
A.
hasCampusFeature
chosen
Indicates that a campus possesses or includes a specific physical or functional feature.
-
B.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
-
D.
operatesOnCampus
Indicates that an organization or entity conducts its activities or business within the grounds or facilities of a particular campus.
-
E.
hostsCampusOf
Indicates that one entity serves as the physical location or site where another entity’s campus is situated or maintained.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.