Triple
T33649317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan |
E862046
|
entity |
| Predicate | originRailwayInspiration |
P188124
|
FINISHED |
| Object | Talyllyn Railway |
E48102
|
NE 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: Talyllyn Railway | Statement: [Duncan, originRailwayInspiration, Talyllyn Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originRailwayInspiration Context triple: [Duncan, originRailwayInspiration, Talyllyn Railway]
-
A.
originalRailway
Indicates that a railway is the first or initial line from which others in a network, route, or system originate or are derived.
-
B.
railwayFocus
Indicates that something is a primary subject, theme, or point of attention specifically in the context of railways or railway-related matters.
-
C.
inspiredByRealRailway
chosen
Indicates that something is based on, modeled after, or influenced by an actual real-world railway system or line.
-
D.
railwayHeritageFrom
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
-
E.
railwaySignificance
Indicates the importance or role that a railway or rail-related feature has within a transportation network, region, or context.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36cc624d50819082df15d9a7ab7d86 |
completed | June 20, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
Created at: May 1, 2026, 1:42 a.m.