Triple
T8940564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Corcovado |
E212888
|
entity |
| Predicate | cityPanoramaSymbol |
P56210
|
FINISHED |
| Object | symbolic viewpoint of Rio de Janeiro |
—
|
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: symbolic viewpoint of Rio de Janeiro | Statement: [Mount Corcovado, cityPanoramaSymbol, symbolic viewpoint of Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityPanoramaSymbol Context triple: [Mount Corcovado, cityPanoramaSymbol, symbolic viewpoint of Rio de Janeiro]
-
A.
citySymbol
Indicates that one entity serves as the official symbol or emblem representing a particular city.
-
B.
cityPanorama
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
-
C.
citySymbolOf
Indicates that a particular city serves as an official symbol or emblem representing another entity, such as a region, organization, or concept.
-
D.
partOfSkylineOf
chosen
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
-
E.
cityService
Indicates that a service is provided by, operates within, or is administered by a particular city.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:58 p.m.