Triple
T21228538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Most Famous Train in the World |
E523144
|
entity |
| Predicate | associatedWithServiceType |
P849
|
FINISHED |
| Object | express passenger train |
—
|
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: express passenger train | Statement: [The Most Famous Train in the World, associatedWithServiceType, express passenger train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithServiceType Context triple: [The Most Famous Train in the World, associatedWithServiceType, express passenger train]
-
A.
appliesToServiceType
Indicates that something is relevant or applicable specifically to a particular type or category of service.
-
B.
hasServiceType
chosen
Indicates that an entity is associated with or categorized by a particular type of service.
-
C.
associatedWithProvider
Indicates that one entity has a connection or relationship with a specific provider, such as being supplied, managed, or serviced by that provider.
-
D.
linkedByServiceTo
Indicates that one entity is connected or associated with another through a specific service acting as the linking mechanism.
-
E.
associatedUnitType
Indicates that one entity is linked to or characterized by a particular type or category of unit.
- 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ad5068819088b203eeba4e6380 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:44 p.m.