Triple
T38429689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Northern Warehouse, Manchester |
E903763
|
entity |
| Predicate | transportRelatedTo |
P194943
|
FINISHED |
| Object | railway goods traffic |
—
|
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: railway goods traffic | Statement: [Great Northern Warehouse, Manchester, transportRelatedTo, railway goods traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportRelatedTo Context triple: [Great Northern Warehouse, Manchester, transportRelatedTo, railway goods traffic]
-
A.
transportationRelatedTo
chosen
Indicates a relationship where one entity is connected to another through transportation, such as serving as a means, mode, infrastructure, or service for moving people or goods.
-
B.
transportRelationship
Indicates a relationship where one entity moves, carries, or conveys another entity from one location to another.
-
C.
transportationRelation
Indicates a relationship where one entity transports, carries, or conveys another entity from one location to another.
-
D.
transportationLinksTo
Indicates that there is a transportation connection or route enabling movement or travel between the two entities.
-
E.
transportDevelopment
Indicates the development or improvement of transportation systems, infrastructure, or services connecting places or entities.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:31 p.m.