Triple
T14831928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akashi Strait |
E348727
|
entity |
| Predicate | nearbyBridgeType |
P1787
|
FINISHED |
| Object | suspension bridge |
—
|
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: suspension bridge | Statement: [Akashi Strait, nearbyBridgeType, suspension bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyBridgeType Context triple: [Akashi Strait, nearbyBridgeType, suspension bridge]
-
A.
hasNearbyBridge
Indicates that one entity is located close to a bridge associated with or relevant to it.
-
B.
bridgeType
chosen
Indicates the specific kind or classification of a bridge associated with an entity.
-
C.
hasBuildingTypeOnBridge
Indicates that a specific type of building or structure is located on or constructed upon a bridge.
-
D.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
E.
bridgesBetween
Indicates a relationship where something connects or links two otherwise separate entities, contexts, or states, enabling interaction or transition between them.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:52 a.m.