Triple
T34696095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causeway Bridge |
E891034
|
entity |
| Predicate | reducedCongestionOn |
P32500
|
FINISHED |
| Object | Simpson Bay Bridge |
—
|
NE NERFINISHED |
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: Simpson Bay Bridge | Statement: [Causeway Bridge, reducedCongestionOn, Simpson Bay Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedCongestionOn Context triple: [Causeway Bridge, reducedCongestionOn, Simpson Bay Bridge]
-
A.
relievesTrafficFrom
chosen
Indicates that one entity reduces or alleviates traffic congestion that would otherwise occur on another entity.
-
B.
facilitatesTrafficTowards
Indicates that one entity enables, promotes, or directs the movement or flow of traffic toward another entity.
-
C.
significantlyShortensRouteBetween
Indicates that one entity provides a connection between two others that makes the path or travel distance between them substantially shorter than alternative routes.
-
D.
canReduceSpeedTo
Indicates that an entity has the capability to lower its speed to a specified level or threshold.
-
E.
reducedTravelTimeFrom
Indicates that one entity has caused or experienced a decrease in the amount of time required to travel from a specified origin entity.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7237f53488190a70af2cc56d0e5ca |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.