Triple
T25889995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Horne |
E652302
|
entity |
| Predicate | hasNotableRegionOfStudy |
P147009
|
FINISHED |
| Object | Northwest Highlands of Scotland |
—
|
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: Northwest Highlands of Scotland | Statement: [John Horne, hasNotableRegionOfStudy, Northwest Highlands of Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableRegionOfStudy Context triple: [John Horne, hasNotableRegionOfStudy, Northwest Highlands of Scotland]
-
A.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
B.
regionOfStudy
Indicates the academic or research area that is the focus of someone’s study or investigation.
-
C.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
D.
primaryRegionOfStudy
chosen
Indicates the main geographic or topical region that is the focus of an entity’s academic or research study.
-
E.
studiedWithin
Indicates that one entity pursued studies or academic work within the scope, context, or boundaries defined by another entity (such as an institution, program, or field).
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 22, 2026, 8:19 a.m.