Triple

T6139058
Position Surface form Disambiguated ID Type / Status
Subject Twa E136911 entity
Predicate populationDistribution P560 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: [Twa, populationDistribution, Angola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angola
Context triple: [Twa, populationDistribution, 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. Republic of the Congo
    The Republic of the Congo is a Central African nation along the Atlantic coast, known for its vast tropical rainforests, rich biodiversity, and significant oil and mineral resources.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c855a2481909801de9fd55686a4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135e78950819085a2fdd7538af4cb completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.