Triple

T3793115
Position Surface form Disambiguated ID Type / Status
Subject Cabinda E89703 entity
Predicate hasCity P316 FINISHED
Object Cabinda (city) E89703 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: Cabinda (city) | Statement: [Cabinda, hasCity, Cabinda (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabinda (city)
Context triple: [Cabinda, hasCity, Cabinda (city)]
  • A. Cabinda chosen
    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.
  • B. Huambo
    Huambo is a major city in central Angola that served as a strategic stronghold and frequent battleground during the Angolan Civil War.
  • C. Malabo
    Malabo is the largest city and main economic and administrative center of Equatorial Guinea, located on the northern coast of Bioko Island in the Gulf of Guinea.
  • D. Luanda
    Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
  • E. Pointe-Noire
    Pointe-Noire is a major port city on the Atlantic coast of the Republic of the Congo and one of the country’s principal economic and industrial centers.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76b809c81908312f308fbe85bf4 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1f7a20819082d2ff104167d98b completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.