Triple
T17163888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivas Department |
E416554
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Altagracia |
E93721
|
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: Altagracia | Statement: [Rivas Department, hasMunicipality, Altagracia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altagracia Context triple: [Rivas Department, hasMunicipality, Altagracia]
-
A.
Altagracia
chosen
Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
-
B.
Mayarí
Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
-
C.
Graciela
Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
-
D.
Haydée
Haydée is a fictional Greek princess and former slave who becomes a devoted ally and love interest of Edmond Dantès in Alexandre Dumas' novel "The Count of Monte Cristo."
-
E.
La Maritza
"La Maritza" is a popular French song by Sylvie Vartan, celebrated as one of her signature hits from the late 1960s.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f913c84481908bb5da8bcc6a2e62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483b827081909619ea691c4c0e1e |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.