Triple
T18933856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A34 Kingsway |
E463187
|
entity |
| Predicate | formsPartOfTransportNetwork |
P74437
|
FINISHED |
| Object | Manchester road network |
—
|
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: Manchester road network | Statement: [A34 Kingsway, formsPartOfTransportNetwork, Manchester road network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfTransportNetwork Context triple: [A34 Kingsway, formsPartOfTransportNetwork, Manchester road network]
-
A.
transportNetworkPartOf
Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
-
B.
isInTransportNetwork
chosen
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
-
C.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
D.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
E.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.