Triple

T11128631
Position Surface form Disambiguated ID Type / Status
Subject Dom E263213 entity
Predicate usedIn P98 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: [Dom, usedIn, Angola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angola
Context triple: [Dom, usedIn, 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e830e804819097fcc3826d84dab8 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6070248190adb8e74daff09f83 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:28 p.m.