Triple

T9537292
Position Surface form Disambiguated ID Type / Status
Subject International Residual Mechanism for Criminal Tribunals E230049 entity
Predicate locatedIn P40 FINISHED
Object Arusha, United Republic of Tanzania E45051 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: Arusha, United Republic of Tanzania | Statement: [International Residual Mechanism for Criminal Tribunals, locatedIn, Arusha, United Republic of Tanzania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arusha, United Republic of Tanzania
Context triple: [International Residual Mechanism for Criminal Tribunals, locatedIn, Arusha, United Republic of Tanzania]
  • A. Arusha, Tanzania chosen
    Arusha, Tanzania is a major city in northern Tanzania known as a diplomatic hub and gateway to popular safari destinations and Mount Kilimanjaro.
  • B. Arusha Region
    Arusha Region is an administrative region in northern Tanzania known for its tourism hub city of Arusha and proximity to major national parks and Mount Kilimanjaro.
  • C. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • D. Mwanza, Tanzania
    Mwanza is a major port city on the southern shores of Lake Victoria in northern Tanzania, known as an important commercial and transportation hub for the region.
  • E. Likasi
    Likasi is a mining city in the southeastern Democratic Republic of the Congo, known for its significant copper and cobalt production.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ce884c8190a8b3c2dc7c73c2c9 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af4770f88190b9952c4308c0c384 completed April 5, 2026, 12:39 a.m.
Created at: March 30, 2026, 8:01 p.m.