Triple
T8423339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equestrian statue of General Manuel Belgrano |
E198914
|
entity |
| Predicate | locatedInUrbanSquare |
P12103
|
FINISHED |
| Object | historic central square of Buenos Aires |
—
|
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: historic central square of Buenos Aires | Statement: [equestrian statue of General Manuel Belgrano, locatedInUrbanSquare, historic central square of Buenos Aires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInUrbanSquare Context triple: [equestrian statue of General Manuel Belgrano, locatedInUrbanSquare, historic central square of Buenos Aires]
-
A.
withinUrbanArea
chosen
Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
-
B.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
-
C.
locationOnSquare
Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
-
D.
locatedInUrbanizationType
Indicates that one entity is situated within, or belongs to, a specific type or category of urbanized area (e.g., city, suburb, metropolitan zone).
-
E.
partOfSkylineOf
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.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb859f787481908a11797a317c8849 |
completed | March 31, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.