Triple
T19764922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salto del Agua |
E474727
|
entity |
| Predicate | hasStationIconography |
P87191
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Salto del Agua, hasStationIconography, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationIconography Context triple: [Salto del Agua, hasStationIconography, yes]
-
A.
hasStationIcon
chosen
Indicates that an entity is associated with a specific icon used to visually represent a station.
-
B.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
-
C.
hasStationStyle
Indicates that one entity (typically a station) possesses or is characterized by a particular architectural or design style.
-
D.
iconographyStatus
Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
-
E.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.