Triple

T3106177
Position Surface form Disambiguated ID Type / Status
Subject Thomas Lubanga Dyilo E64835 entity
Predicate placeOfBirth P1 FINISHED
Object Ituri E108956 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: Ituri | Statement: [Thomas Lubanga Dyilo, placeOfBirth, Ituri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ituri
Context triple: [Thomas Lubanga Dyilo, placeOfBirth, Ituri]
  • A. Ituri Province chosen
    Ituri Province is a conflict-affected region in northeastern Democratic Republic of the Congo known for its ethnic tensions, rich natural resources, and vulnerability to public health crises.
  • B. Goma
    Goma is a city in eastern Democratic Republic of the Congo on the northern shore of Lake Kivu, known as a gateway to Virunga National Park and for its proximity to the active Nyiragongo volcano.
  • C. Kié-Ntem
    Kié-Ntem is a province in mainland Equatorial Guinea known for its largely forested landscapes and border location with Cameroon and Gabon.
  • D. Luba-Kasai
    Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
  • E. South Kivu
    South Kivu is a conflict-affected province in the eastern Democratic Republic of the Congo, known for its ethnic tensions, mineral wealth, and presence of numerous armed groups.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5994088190abc4b56040922c16 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:04 p.m.