Triple
T29194846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Placentia Lift Bridge |
E740097
|
entity |
| Predicate | hasRoadwayConfiguration |
P26277
|
FINISHED |
| Object | two-lane road |
—
|
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: two-lane road | Statement: [Placentia Lift Bridge, hasRoadwayConfiguration, two-lane road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadwayConfiguration Context triple: [Placentia Lift Bridge, hasRoadwayConfiguration, two-lane road]
-
A.
hasRoadConfiguration
chosen
Indicates that there exists a specific arrangement or layout of roads associated with or characterizing an entity.
-
B.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
C.
hasLaneConfigurations
Indicates that an entity is associated with one or more specific arrangements or patterns of lanes (e.g., number, type, or direction of lanes).
-
D.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
E.
hasRoadWidth
Indicates the width measurement of a road segment or roadway in the relationship.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 28, 2026, 12:03 p.m.