Triple
T23164193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Horse Rapids |
E578669
|
entity |
| Predicate | associatedWithTransport |
P131563
|
FINISHED |
| Object | riverboats |
—
|
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: riverboats | Statement: [White Horse Rapids, associatedWithTransport, riverboats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTransport Context triple: [White Horse Rapids, associatedWithTransport, riverboats]
-
A.
transportAssociated
chosen
Indicates an association between entities where one is involved in, related to, or characterized by the transport or movement of the other.
-
B.
associatedWithDriver
Indicates that one entity has a connection or relationship with a specific driver, such as being linked, assigned, or otherwise related to that driver.
-
C.
associatedWithTransitSystem
Indicates that an entity has a connection or involvement with a particular transit or transportation system.
-
D.
transportedWith
Indicates that one entity was moved or carried together with another entity as part of the same transport event.
-
E.
associatedWithTransitLine
Indicates that an entity has a connection or linkage to a specific transit line, such as being part of, served by, or otherwise related to that line.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2b0414819081f9c2d6b8c88421 |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:02 p.m.