Triple
T33649409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke |
E862049
|
entity |
| Predicate | inspiredByRealRailway |
P188124
|
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: [Luke, inspiredByRealRailway, Talyllyn Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByRealRailway Context triple: [Luke, inspiredByRealRailway, 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.
railwayConstructedIn
Indicates that a railway was built or established within a specified location or during a specified time period.
-
C.
railwayBuiltFor
Indicates that a railway was constructed to serve, support, or provide access to a particular entity or purpose.
-
D.
railwayCharacter
Indicates a relationship where an entity is characterized or defined as a railway-related figure, role, or persona.
-
E.
formerRailroad
Indicates that an entity was previously a railroad but no longer functions as one.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:42 a.m.