Triple

T22879114
Position Surface form Disambiguated ID Type / Status
Subject Ronga language E567410 entity
Predicate hasAlternativeName P39 FINISHED
Object Ronga NE NERFINISHED

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: Ronga | Statement: [Ronga language, hasAlternativeName, Ronga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronga
Context triple: [Ronga language, hasAlternativeName, Ronga]
  • A. Ronga chosen
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • B. Ranui
    Ranui is a residential suburb in the western part of Auckland, New Zealand, known for its diverse community and proximity to both urban amenities and rural landscapes.
  • C. Korangi
    Korangi is a major industrial and residential area in Karachi, Pakistan, known for its large industrial estate and dense urban population.
  • D. Wainunu
    Wainunu is a rural settlement in Fiji’s Bua Province on the island of Vanua Levu, known for its coastal villages and traditional Fijian lifestyle.
  • E. Tongala
    Tongala is a small rural town in northern Victoria, Australia, known for its dairy industry and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5a26f4819086ede6d85a2ab2bf completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.