Triple
T36614960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 95 in New Jersey |
E903577
|
entity |
| Predicate | connectedToBridgeOrTunnel |
P159483
|
FINISHED |
| Object | George Washington Bridge (via New Jersey approaches) |
—
|
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: George Washington Bridge (via New Jersey approaches) | Statement: [Interstate 95 in New Jersey, connectedToBridgeOrTunnel, George Washington Bridge (via New Jersey approaches)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToBridgeOrTunnel Context triple: [Interstate 95 in New Jersey, connectedToBridgeOrTunnel, George Washington Bridge (via New Jersey approaches)]
-
A.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
B.
usesTunnelOrBridge
Indicates that one entity travels or passes between locations by means of a tunnel or a bridge.
-
C.
hasBridgeAccess
Indicates that an entity is permitted to enter or use a specific bridge or bridge-controlled area.
-
D.
isTransportConnectedTo
chosen
Indicates that there is a transportation link or route enabling movement or travel between the two entities.
-
E.
hasBridgeLayer
Indicates that one entity includes or is associated with a specific bridge layer within its structure or configuration.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:11 p.m.