Triple

T1459580
Position Surface form Disambiguated ID Type / Status
Subject Madrid, Cundinamarca E31478 entity
Predicate hasNeighboringMunicipality P224 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: [Madrid, Cundinamarca, hasNeighboringMunicipality, Funza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funza
Context triple: [Madrid, Cundinamarca, hasNeighboringMunicipality, 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. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • E. Maphelane
    Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59c1c288190be08064f2d351b2b completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a299ac81908f37085a107c8e9f completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8 p.m.