Triple
T5255678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Victoria Street, Belfast |
E118690
|
entity |
| Predicate | hasConnectingFunction |
P22784
|
FINISHED |
| Object | major city thoroughfare |
—
|
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: major city thoroughfare | Statement: [Great Victoria Street, Belfast, hasConnectingFunction, major city thoroughfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConnectingFunction Context triple: [Great Victoria Street, Belfast, hasConnectingFunction, major city thoroughfare]
-
A.
hasConnection
Indicates that there exists a link, association, or relationship between two entities.
-
B.
hasHubFunction
chosen
Indicates that an entity serves as a central hub or coordinating point for certain activities, connections, or functions within a system.
-
C.
hasPortConnection
Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
-
D.
hasPipelineConnection
Indicates that one entity is linked to another via a pipeline through which materials, fluids, or data can flow.
-
E.
hasConnectedComponent
Indicates that one entity includes or is associated with a specific connected component as part of its structure or decomposition.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba2f5d08190850529659901ae0f |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.