Triple
T29293884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harwood Bridge |
E742763
|
entity |
| Predicate | hasRiverCrossingRole |
P1970
|
FINISHED |
| Object | Clarence River road crossing |
—
|
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: Clarence River road crossing | Statement: [Harwood Bridge, hasRiverCrossingRole, Clarence River road crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverCrossingRole Context triple: [Harwood Bridge, hasRiverCrossingRole, Clarence River road crossing]
-
A.
hasRiverCrossingType
Indicates the type or nature of a river crossing associated with an entity (e.g., bridge, ford, ferry).
-
B.
hasRiverCrossingNearby
Indicates that there is a river crossing located in close proximity to the referenced entity or location.
-
C.
notableRiverCrossingRole
chosen
Indicates that an entity plays a significant role as a location or feature involved in the crossing of a river.
-
D.
riverCrossingConnection
Indicates a connection between two locations that are linked by a route or structure specifically used to cross a river.
-
E.
hasCanalCrossing
Indicates that one entity is connected to or traversed by another via a canal crossing, such as a bridge, aqueduct, or similar structure over a canal.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 1:04 p.m.