Triple
T33647963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryn Eglwys slate quarry |
E862012
|
entity |
| Predicate | reasonForConstructionOf |
P40127
|
FINISHED |
| Object | Talyllyn Railway |
—
|
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: Talyllyn Railway | Statement: [Bryn Eglwys slate quarry, reasonForConstructionOf, Talyllyn Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForConstructionOf Context triple: [Bryn Eglwys slate quarry, reasonForConstructionOf, Talyllyn Railway]
-
A.
reasonForCreation
Indicates that one entity was created for the purpose, cause, or motivation specified by another entity.
-
B.
reasonForDesign
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
-
C.
purposeOfConstruction
chosen
Indicates that one entity was constructed or built in order to serve, enable, or fulfill the function, goal, or intended use represented by another entity.
-
D.
reasonForAcquisition
Indicates the underlying purpose, motive, or justification for which one entity acquires another entity or asset.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 1, 2026, 1:42 a.m.