Triple
T90231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South America |
E1813
|
entity |
| Predicate | hasCountry |
P846
|
FINISHED |
| Object | Guyana |
E28582
|
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: Guyana | Statement: [South America, hasCountry, Guyana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guyana Context triple: [South America, hasCountry, Guyana]
-
A.
Suriname
Suriname is a small, ethnically diverse country on the northeastern coast of South America, known for its tropical rainforests, Dutch colonial heritage, and status as the continent’s only Dutch-speaking nation.
-
B.
Grenada
Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
-
C.
British Guiana
chosen
British Guiana was a former British colony on the northern coast of South America, known today as the independent nation of Guyana.
-
D.
Trinidad and Tobago
Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
-
E.
Venezuela
Venezuela is a South American country known for its vast oil reserves, diverse landscapes ranging from Caribbean coastlines to Andean mountains and Amazon rainforest, and its Spanish-speaking population.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24f6c29888190890caa7872d63ac6 |
completed | Feb. 28, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38611d3808190834c96fe39f9cf0d |
completed | March 1, 2026, 12:19 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.