Triple
T10559095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donghai Bridge |
E249165
|
entity |
| Predicate | bridgeDeckType |
P94675
|
FINISHED |
| Object | dual carriageway |
—
|
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: dual carriageway | Statement: [Donghai Bridge, bridgeDeckType, dual carriageway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgeDeckType Context triple: [Donghai Bridge, bridgeDeckType, dual carriageway]
-
A.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
B.
bridgeMaterial
Indicates that a bridge is constructed from, or primarily composed of, a specified material.
-
C.
hasBuildingTypeOnBridge
Indicates that a specific type of building or structure is located on or constructed upon a bridge.
-
D.
bridgeCarries
Indicates that a bridge serves as a route or support structure for transporting or conveying something (such as vehicles, pedestrians, or utilities) across an obstacle.
-
E.
ridgeType
Indicates the specific morphological or structural category that a ridge belongs to within a classification of ridge forms.
- F. None of above. chosen
Provenance (4 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.