Triple
T5252875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geatland |
E118628
|
entity |
| Predicate | scholarlyTopic |
P778
|
FINISHED |
| Object | Beowulf studies |
—
|
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: Beowulf studies | Statement: [Geatland, scholarlyTopic, Beowulf studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyTopic Context triple: [Geatland, scholarlyTopic, Beowulf studies]
-
A.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
C.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
D.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
E.
academicFocus
chosen
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7cd7f4819098e591df07564a52 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.