Triple
T21322301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentre Ifan |
E525648
|
entity |
| Predicate | hasCapstoneLength |
P143717
|
FINISHED |
| Object | about 5 metres |
—
|
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: about 5 metres | Statement: [Pentre Ifan, hasCapstoneLength, about 5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapstoneLength Context triple: [Pentre Ifan, hasCapstoneLength, about 5 metres]
-
A.
hasCapstone
Indicates that an educational program, course, or curriculum includes a culminating capstone project or experience as a required or defining component.
-
B.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
C.
hasCourseLengthUnit
Indicates the unit of measurement used to express the length or duration of a course.
-
D.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
E.
capstoneDescription
Indicates that an entity serves as a culminating or final project, summarizing or integrating prior work or learning.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed2640c8190a81b087e2c49c500 |
completed | April 21, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:40 p.m.