Triple
T13291731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula E |
E316573
|
entity |
| Predicate | notableCityHosted |
P90517
|
FINISHED |
| Object | Punta del Este |
E84152
|
NE 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: Punta del Este | Statement: [Formula E, notableCityHosted, Punta del Este]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punta del Este Context triple: [Formula E, notableCityHosted, Punta del Este]
-
A.
Punta del Este
chosen
Punta del Este is a famous Uruguayan beach resort city known for its tourism, luxury lifestyle, and international conferences.
-
B.
Marina del Este
Marina del Este is a marina and leisure harbor on Spain’s Costa Tropical, known for its sheltered location, yacht moorings, and diving spots near Almuñécar in Granada.
-
C.
Mar del Plata
Mar del Plata is a major Argentine Atlantic coastal city renowned as a popular beach resort and tourist destination.
-
D.
Colonia del Sacramento
Colonia del Sacramento is a historic Uruguayan city famed for its well-preserved colonial quarter, a UNESCO World Heritage Site that reflects a blend of Portuguese and Spanish architectural influences.
-
E.
Búzios
Búzios is a popular Brazilian coastal resort town on the Atlantic Ocean, known for its beaches, nightlife, and upscale tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d6dc988190ab7183089113237f |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.