Triple
T6521977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Aberdeen rail corridor |
E151204
|
entity |
| Predicate | hasThroughTrains |
P58937
|
FINISHED |
| Object | direct services without change between London and Aberdeen |
—
|
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: direct services without change between London and Aberdeen | Statement: [London–Aberdeen rail corridor, hasThroughTrains, direct services without change between London and Aberdeen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThroughTrains Context triple: [London–Aberdeen rail corridor, hasThroughTrains, direct services without change between London and Aberdeen]
-
A.
hasRailRoute
chosen
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
B.
trainsOn
Indicates that one entity receives training, instruction, or practice using or based on another entity (such as a resource, dataset, tool, or subject).
-
C.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
D.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.