Triple
T22798659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PacificCoastNavigation |
E564320
|
entity |
| Predicate | usesVisualAid |
P139277
|
FINISHED |
| Object | Mount Fairweather |
—
|
NE NERFINISHED |
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: Mount Fairweather | Statement: [PacificCoastNavigation, usesVisualAid, Mount Fairweather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesVisualAid Context triple: [PacificCoastNavigation, usesVisualAid, Mount Fairweather]
-
A.
isUsedToIllustrate
Indicates that one entity serves as an example or demonstration to clarify, explain, or represent another entity.
-
B.
visualizedIn
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
C.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
D.
usesChartsOf
chosen
Indicates that one entity employs or relies on the charts, diagrams, or graphical representations provided by another entity.
-
E.
visualMetaphor
Indicates a relationship where one entity conceptually represents or explains another through a visual analogy or symbolic imagery.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdb6ba48190936bd356704c1241 |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.