Triple
T23250528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larvotto |
E581718
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Monte Carlo |
—
|
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: Monte Carlo | Statement: [Larvotto, borders, Monte Carlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Carlo Context triple: [Larvotto, borders, Monte Carlo]
-
A.
Monte Carlo
chosen
Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
-
B.
Monte Carlo SS
The Monte Carlo SS is a high-performance, V8-powered variant of Chevrolet’s mid-size Monte Carlo coupe, known for its sporty styling and strong presence in NASCAR and American muscle car culture.
-
C.
Monte Carlo quarter
The Monte Carlo quarter is Monaco’s most famous district, renowned for its luxury casinos, upscale hotels, and role as a playground for the wealthy and glamorous.
-
D.
Monte Carlo area
The Monte Carlo area is a famous district of Monaco known for its luxury casinos, upscale hotels, and role as a glamorous hub of wealth and tourism on the French Riviera.
-
E.
Monte Carlo method
The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.