Triple
T14301893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Mildred Long Bridge |
E354583
|
entity |
| Predicate | oldBridgeType |
P1787
|
FINISHED |
| Object | double-deck vertical-lift 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: double-deck vertical-lift bridge | Statement: [Sarah Mildred Long Bridge, oldBridgeType, double-deck vertical-lift bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldBridgeType Context triple: [Sarah Mildred Long Bridge, oldBridgeType, double-deck vertical-lift bridge]
-
A.
bridgeType
chosen
Indicates the specific kind or classification of a bridge associated with an entity.
-
B.
isOldestSurvivingBridgeAcross
Indicates that a bridge is the most ancient still-existing bridge that spans a specified waterway, road, or gap.
-
C.
originalBridgeOpened
Indicates that the first or initial version of a bridge was opened for use or put into operation.
-
D.
hasBuildingTypeOnBridge
Indicates that a specific type of building or structure is located on or constructed upon a bridge.
-
E.
originalBridgeNickname
Indicates that an entity is the original or primary source of a particular bridge nickname assigned to another entity.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.