Triple
T17480789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maldonado Department |
E425652
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Maldonado |
—
|
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: Maldonado | Statement: [Maldonado Department, hasCapital, Maldonado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maldonado Context triple: [Maldonado Department, hasCapital, Maldonado]
-
A.
Maldonado
chosen
Maldonado is a coastal city in southeastern Uruguay that serves as the capital of Maldonado Department and a key urban center near the resort town of Punta del Este.
-
B.
Maldonado
Maldonado is a key character in the science-fiction television series "Almost Human," serving as a high-ranking police official who oversees the show's central investigative team.
-
C.
Maldonado
Maldonado is a Spanish-language surname commonly found in Spain and Latin America.
-
D.
Núñez
Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
-
E.
Moscoso
Moscoso is the surname of Mireya Moscoso, the first female president of Panama.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bfd75481908c20bc2c1cbff593 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.