Triple

T22160100
Position Surface form Disambiguated ID Type / Status
Subject Kattang E547643 entity
Predicate alternativeName P39 FINISHED
Object Gathang 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: Gathang | Statement: [Kattang, alternativeName, Gathang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gathang
Context triple: [Kattang, alternativeName, Gathang]
  • A. Gathang chosen
    Gathang is an Australian Aboriginal language traditionally spoken by the Worimi, Biripi, and Guringay peoples of New South Wales.
  • B. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • C. Vhavenda
    Vhavenda are a Bantu-speaking ethnic group primarily inhabiting the northern part of South Africa’s Limpopo Province, known for their rich cultural traditions, distinctive music and dance, and historical Venda kingdom.
  • D. Bophelong
    Bophelong is a township in the Emfuleni area of Gauteng, South Africa, known as a residential community near the industrial city of Vanderbijlpark.
  • E. Empangeni
    Empangeni is a town in KwaZulu-Natal, South Africa, situated near Richards Bay and known as a regional commercial and service center.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2c17a4819082fb9e4aaa275462 completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:33 p.m.