Triple

T22865122
Position Surface form Disambiguated ID Type / Status
Subject Anglican Church of Congo E567029 entity
Predicate hasDioceseIn P8670 FINISHED
Object Kindu 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: Kindu | Statement: [Anglican Church of Congo, hasDioceseIn, Kindu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kindu
Context triple: [Anglican Church of Congo, hasDioceseIn, Kindu]
  • A. Kindu chosen
    Kindu is a city in the eastern Democratic Republic of the Congo that serves as the capital of Maniema Province and an important regional transport hub.
  • B. Kunda
    Kunda is a small industrial town in northern Estonia known for its cement industry and archaeological significance.
  • C. Kunda
    Kunda is the sacred stepped water tank associated with the Modhera Sun Temple in Gujarat, India, used historically for ritual bathing and religious ceremonies.
  • D. Sere Kunda
    Sere Kunda is the largest urban center and commercial hub of The Gambia, located near the capital city of Banjul.
  • E. Kishambaa
    Kishambaa is an alternative name for the Shambala language, a Bantu language spoken primarily in northeastern 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17effd93081909f2c9a8857a8728b completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.