Triple
T626230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominica |
E15825
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Roseau |
E78397
|
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: Roseau | Statement: [Dominica, largestCity, Roseau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roseau Context triple: [Dominica, largestCity, Roseau]
-
A.
Roseau
chosen
Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
-
B.
Monrovia
Monrovia is the largest city and main economic and administrative center of Liberia, located on the Atlantic coast in West Africa.
-
C.
Port-au-Prince
Port-au-Prince is the capital and largest city of Haiti, serving as the country’s political, economic, and cultural center.
-
D.
Port Louis
Port Louis is the capital and largest city of Mauritius, serving as its main economic, political, and cultural center as well as a key regional port in the Indian Ocean.
-
E.
Port of Spain
Port of Spain is the capital city and main commercial and cultural center of Trinidad and Tobago, located on the northwest coast of the island of Trinidad.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e587c448190987943a6aad209d1 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56935ec748190984b9cb6add6b700 |
completed | March 2, 2026, 10:40 a.m. |
Created at: March 1, 2026, 7:35 p.m.