Triple

T17964915
Position Surface form Disambiguated ID Type / Status
Subject Maputo River E449177 entity
Predicate alsoKnownAs P39 FINISHED
Object Rio Maputo E449177 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: Rio Maputo | Statement: [Maputo River, alsoKnownAs, Rio Maputo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Maputo
Context triple: [Maputo River, alsoKnownAs, Rio Maputo]
  • A. Pongola
    Pongola is a small town in northern KwaZulu-Natal, South Africa, known for its sugarcane farming and proximity to game reserves and the Pongolapoort Dam.
  • B. Zambezi River
    The Zambezi River is one of Africa’s largest rivers, famed for Victoria Falls and its role as a vital waterway and natural border in southern Africa.
  • C. Maputo River chosen
    Maputo River is a river in southern Africa that flows through Eswatini and Mozambique before emptying into the Indian Ocean near the city of Maputo.
  • D. Mapusa River
    Mapusa River is a coastal river in North Goa, India, that flows through the town of Mapusa and joins the Mandovi River before reaching the Arabian Sea.
  • E. Beira Lake
    Beira Lake is a prominent urban lake in central Colombo, Sri Lanka, known for its scenic views, religious sites, and recreational activities amid the city’s commercial district.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b136e4088190ac97fd92dc84a4b9 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330100f048190aba7448d9891cfdc completed May 12, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:22 a.m.