Triple
T235388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge railway station |
E4497
|
entity |
| Predicate | isTerminusFor |
P388
|
FINISHED |
| Object | Cambridge line from London King’s Cross |
—
|
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: Cambridge line from London King’s Cross | Statement: [Cambridge railway station, isTerminusFor, Cambridge line from London King’s Cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTerminusFor Context triple: [Cambridge railway station, isTerminusFor, Cambridge line from London King’s Cross]
-
A.
terminus
chosen
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
-
B.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
-
C.
terminusNorth
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
-
D.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
E.
terminusSplitPoint
Indicates a point at which a route, path, or process reaches its end and divides into two or more separate continuations or branches.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cc9ab2c81909af278a07f86aa1e |
completed | Feb. 28, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69a25b5dc640819092669575731c393f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.