Triple

T8572205
Position Surface form Disambiguated ID Type / Status
Subject Nerima E202952 entity
Predicate hasSisterCity P919 FINISHED
Object Hohhot E80543 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: Hohhot | Statement: [Nerima, hasSisterCity, Hohhot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohhot
Context triple: [Nerima, hasSisterCity, Hohhot]
  • A. Hohhot chosen
    Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
  • B. Xilinhot
    Xilinhot is a city in Inner Mongolia, China, known as an important regional center on the Xilingol grasslands with a strong pastoral and Mongolian cultural heritage.
  • C. Manzhouli
    Manzhouli is a major border city in Inner Mongolia, China, known as a key gateway for trade and rail transport between China and Russia.
  • D. Ulanhot
    Ulanhot is a county-level city in northeastern Inner Mongolia, China, known as a regional political and economic center and as the birthplace of the Inner Mongolia Autonomous Region.
  • E. Chifeng
    Chifeng is a prefecture-level city in southeastern Inner Mongolia, China, known for its mix of grassland, forest, and historical sites linked to ancient nomadic cultures.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea88464b88190983e22e70bf38e63 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:21 p.m.