Triple

T1688511
Position Surface form Disambiguated ID Type / Status
Subject Sabana de Bogotá E36496 entity
Predicate contains P35 FINISHED
Object Funza E31477 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: Funza | Statement: [Sabana de Bogotá, contains, Funza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funza
Context triple: [Sabana de Bogotá, contains, Funza]
  • A. Funza chosen
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • B. Nomzamo
    Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
  • C. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • D. Mofolo
    Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
  • E. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6296655c8190835ec0d20f7460ca completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac462f0819094e7a5751c6975c6 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:29 p.m.