Triple
T2797307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Surinamese |
E53068
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Paramaribo |
E28396
|
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: Paramaribo | Statement: [Dutch Surinamese, region, Paramaribo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paramaribo Context triple: [Dutch Surinamese, region, Paramaribo]
-
A.
Paramaribo
chosen
Paramaribo is the capital and largest city of Suriname, known for its diverse population and historic colonial architecture along the Suriname River.
-
B.
Georgetown, Guyana
Georgetown, Guyana is the capital and largest city of Guyana, serving as the country’s political, economic, and cultural center.
-
C.
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.
-
D.
Basseterre
Basseterre is the main urban, commercial, and administrative center of the Caribbean island nation of Saint Kitts and Nevis.
-
E.
Oranjestad
Oranjestad is the largest city and main commercial and tourism hub of Aruba, located on the island’s western coast.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66798148190bd7b163043167409 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.