Triple

T9034914
Position Surface form Disambiguated ID Type / Status
Subject Nairobi Metropolitan Region E216466 entity
Predicate containsTown P847 FINISHED
Object Ruiru E768596 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: Ruiru | Statement: [Nairobi Metropolitan Region, containsTown, Ruiru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruiru
Context triple: [Nairobi Metropolitan Region, containsTown, Ruiru]
  • A. Ruiru chosen
    Ruiru is a rapidly growing industrial and residential town in central Kenya, located near Nairobi and known for its manufacturing, commercial activity, and expanding urban population.
  • B. Longjing
    Longjing is a county-level city in northeastern China's Jilin Province, known for its significant ethnic Korean population and cultural ties to the Yanbian Korean Autonomous Prefecture.
  • C. Xinyang
    Xinyang is a prefecture-level city in southeastern Henan Province, China, known for its tea production and location near the Dabie Mountains.
  • D. Lianghe
    Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
  • E. Bo'an
    Bo'an is the courtesy name of Wang Yangming, the influential Ming dynasty philosopher, statesman, and Neo-Confucian thinker.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6abf4af481908d21245332329d99 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbce352c8190b5862d0cc103bfdb completed April 3, 2026, 3:25 p.m.
Created at: March 30, 2026, 7:08 p.m.