Triple
T2738761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara Falls Suspension Bridge |
E60694
|
entity |
| Predicate | loadType |
P41759
|
FINISHED |
| Object | heavy rail loads |
—
|
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: heavy rail loads | Statement: [Niagara Falls Suspension Bridge, loadType, heavy rail loads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadType Context triple: [Niagara Falls Suspension Bridge, loadType, heavy rail loads]
-
A.
launcherType
Indicates the specific kind or category of launcher associated with or used in relation to an entity.
-
B.
loadingMechanism
Indicates the method or system by which something is loaded into or onto another object or structure.
-
C.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
D.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
E.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.