Triple
T26771923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brownshill Dolmen |
E675101
|
entity |
| Predicate | capstoneType |
P161226
|
FINISHED |
| Object | granite |
—
|
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: granite | Statement: [Brownshill Dolmen, capstoneType, granite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capstoneType Context triple: [Brownshill Dolmen, capstoneType, granite]
-
A.
capstoneDescription
Indicates that an entity serves as a culminating or final project, summarizing or integrating prior work or learning.
-
B.
hasCapstone
Indicates that an educational program, course, or curriculum includes a culminating capstone project or experience as a required or defining component.
-
C.
capstoneLength
Indicates the length or duration associated with a capstone project.
-
D.
thesisType
Indicates the specific category or kind of thesis associated with an academic work or degree.
-
E.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
- F. None of above. chosen
Provenance (4 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6192cf3008190b4019bc4c4907a07 |
completed | May 2, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 4:02 a.m.