Triple

T9606084
Position Surface form Disambiguated ID Type / Status
Subject Kabaka Yekka E231974 entity
Predicate associatedWith P37 FINISHED
Object Mengo establishment E432504 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: Mengo establishment | Statement: [Kabaka Yekka, associatedWith, Mengo establishment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mengo establishment
Context triple: [Kabaka Yekka, associatedWith, Mengo establishment]
  • A. Mengo chosen
    Mengo is a historic hill and neighborhood in Kampala, Uganda, that served as the traditional political and cultural center of the Kingdom of Buganda.
  • B. Meirokusha
    Meirokusha was an influential Meiji-era Japanese intellectual society and journal circle that promoted Western learning, modernization, and political and social reform.
  • C. Mizumoto
    Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
  • D. Gaimushō
    Gaimushō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • E. Ningyōchō
    Ningyōchō is a traditional downtown neighborhood in Tokyo known for its old-style shops, restaurants, and remnants of the city’s Edo-period atmosphere.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:08 p.m.