Triple

T20151560
Position Surface form Disambiguated ID Type / Status
Subject Phoenix Settlement Gandhi Museum E491444 entity
Predicate locatedIn P40 FINISHED
Object Inanda 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: Inanda | Statement: [Phoenix Settlement Gandhi Museum, locatedIn, Inanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inanda
Context triple: [Phoenix Settlement Gandhi Museum, locatedIn, Inanda]
  • A. Inanda
    Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
  • B. Inanda chosen
    Inanda is a township in the eThekwini Metropolitan Municipality near Durban, South Africa, historically significant as the home of several key anti-apartheid figures and movements.
  • C. Ngandi
    Ngandi is an Aboriginal Australian language traditionally spoken by the Ngandi people of Arnhem Land in the Northern Territory.
  • D. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dc34e081908e42e4c1bde26170 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:33 p.m.