Triple
T33649196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Sam |
E862044
|
entity |
| Predicate | inspirationRailway |
P143947
|
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: [Peter Sam, inspirationRailway, Talyllyn Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspirationRailway Context triple: [Peter Sam, inspirationRailway, Talyllyn Railway]
-
A.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
B.
railwaySignificance
Indicates the importance or role that a railway or rail-related feature has within a transportation network, region, or context.
-
C.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
-
D.
railroad
Indicates that one entity constructs, operates, or provides railroad or train transportation services for another entity or area.
-
E.
railwayHeritageFrom
chosen
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
- 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_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:42 a.m.