Triple
T409652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Euston |
E9460
|
entity |
| Predicate | primaryIntercityRoutes |
P6302
|
FINISHED |
| Object | services to Birmingham |
—
|
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: services to Birmingham | Statement: [London Euston, primaryIntercityRoutes, services to Birmingham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIntercityRoutes Context triple: [London Euston, primaryIntercityRoutes, services to Birmingham]
-
A.
isBusiestPassengerRailLineIn
Indicates that a passenger rail line is the one with the highest level of use or traffic within a specified geographic area or system.
-
B.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
C.
operatesInterCityServices
chosen
Indicates that an entity runs or provides transportation services connecting different cities.
-
D.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
E.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.