Triple
T22297770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dascha Polanco |
E551166
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Santo Domingo |
—
|
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: Santo Domingo | Statement: [Dascha Polanco, birthPlace, Santo Domingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Domingo Context triple: [Dascha Polanco, birthPlace, Santo Domingo]
-
A.
Santo Domingo
Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
-
B.
Santo Domingo
Santo Domingo is a major city in central Chile that forms part of the coastal area within the Province of San Antonio.
-
C.
Santo Domingo
Santo Domingo is a municipality in central Cuba’s Villa Clara Province, known for its agricultural economy and rural communities.
-
D.
Santo Domingo
chosen
Santo Domingo is the capital and largest city of the Dominican Republic, known as one of the oldest continuously inhabited European settlements in the Americas and a major cultural, economic, and political center in the Caribbean.
-
E.
Santo Domingo
Santo Domingo is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural economy and historic churches.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.