Triple
T2729144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati–Covington Bridge |
E60267
|
entity |
| Predicate | wasWorldsLongestSuspensionBridgeSpan |
P41916
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cincinnati–Covington Bridge, wasWorldsLongestSuspensionBridgeSpan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldsLongestSuspensionBridgeSpan Context triple: [Cincinnati–Covington Bridge, wasWorldsLongestSuspensionBridgeSpan, true]
-
A.
hasSkyBridgeLength
Indicates the length measurement of a sky bridge connecting two structures or areas.
-
B.
isOldestSurvivingBridgeAcross
Indicates that a bridge is the most ancient still-existing bridge that spans a specified waterway, road, or gap.
-
C.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
-
D.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
-
E.
originalBridgeOpened
Indicates that the first or initial version of a bridge was opened for use or put into operation.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaeaee388190a21e7fa0b8f83546 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:56 p.m.