Triple
T14037463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lobito |
E337749
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Angola |
E12616
|
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: Angola | Statement: [Lobito, country, Angola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angola Context triple: [Lobito, country, Angola]
-
A.
Angola
chosen
Angola is a resource-rich country on Africa’s southwest coast, known for its oil and diamond industries and its history of a long civil war following independence.
-
B.
Cabinda
Cabinda is a small, oil-rich province on the Atlantic coast of Central Africa that is geographically separated from the rest of Angola by a strip of territory belonging to the Democratic Republic of the Congo.
-
C.
Mozambique
Mozambique is a southeastern African nation on the Indian Ocean known for its Portuguese colonial heritage, rich cultural diversity, and extensive coastline with important ports and marine resources.
-
D.
Gabon
Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
-
E.
northern Angola
Northern Angola is a region of Angola that has historically been a center of political and military activity, including major operations during the country’s independence and civil wars.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc323d8ac81909b4eaf44f8fd462c |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.