Triple
T220599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademi Kreyòl Ayisyen |
E4203
|
entity |
| Predicate | countryCapital |
P204
|
FINISHED |
| Object | Port-au-Prince |
E29318
|
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: Port-au-Prince | Statement: [Akademi Kreyòl Ayisyen, countryCapital, Port-au-Prince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port-au-Prince Context triple: [Akademi Kreyòl Ayisyen, countryCapital, Port-au-Prince]
-
A.
Port-au-Prince
chosen
Port-au-Prince is the capital and largest city of Haiti, serving as the country’s political, economic, and cultural center.
-
B.
Panama City
Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
-
C.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
D.
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
-
E.
Santiago de Cuba
Santiago de Cuba is a major city in southeastern Cuba known for its rich Afro-Cuban cultural heritage, historic role in the Cuban Revolution, and vibrant music and carnival traditions.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c6d0fa08190810139b14f4851bc |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35ea15b9c819086b6569a5d19de86 |
completed | Feb. 28, 2026, 9:31 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.