Triple
T30241235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harahan Bridge |
E768920
|
entity |
| Predicate | BigRiverCrossingOpened |
P59995
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Harahan Bridge, BigRiverCrossingOpened, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BigRiverCrossingOpened Context triple: [Harahan Bridge, BigRiverCrossingOpened, 2016]
-
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.
riverCrossingConnection
Indicates a connection between two locations that are linked by a route or structure specifically used to cross a river.
-
D.
crossingOpened
chosen
Indicates that a crossing (such as a road, rail, or pedestrian crossing) has been opened or made available for passage.
-
E.
crossedByRiver
Indicates that a river passes across or through a specified area, feature, or route.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6804f62a88190a517026010f511f4 |
completed | May 2, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:38 p.m.