Triple
T21322300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentre Ifan |
E525648
|
entity |
| Predicate | hasCapstoneWeight |
P143716
|
FINISHED |
| Object | about 16 tonnes |
—
|
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 16 tonnes | Statement: [Pentre Ifan, hasCapstoneWeight, about 16 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapstoneWeight Context triple: [Pentre Ifan, hasCapstoneWeight, about 16 tonnes]
-
A.
hasCapstone
Indicates that an educational program, course, or curriculum includes a culminating capstone project or experience as a required or defining component.
-
B.
capstoneDescription
Indicates that an entity serves as a culminating or final project, summarizing or integrating prior work or learning.
-
C.
hasCap
Indicates that an entity possesses or is equipped with a cap or top covering.
-
D.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
E.
hasCape
Indicates that one entity possesses or is wearing a cape.
- 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.