Triple

T989230
Position Surface form Disambiguated ID Type / Status
Subject Eugene, Oregon E21348 entity
Predicate sisterCity P1072 FINISHED
Object Kathmandu, Nepal E32411 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: Kathmandu, Nepal | Statement: [Eugene, Oregon, sisterCity, Kathmandu, Nepal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathmandu, Nepal
Context triple: [Eugene, Oregon, sisterCity, Kathmandu, Nepal]
  • A. Kathmandu chosen
    Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
  • B. Thimphu
    Thimphu is the largest city of Bhutan and its political, economic, and cultural center, located in the western part of the country in the Himalayas.
  • C. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • D. Lanchkhuti
    Lanchkhuti is a small Georgian town that serves as an important local center in the western region of Guria.
  • E. Nepal
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258d9f4c8190b285455410b30575 completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:41 p.m.