Triple

T13310921
Position Surface form Disambiguated ID Type / Status
Subject Hohhot Baita International Airport E317061 entity
Predicate locatedIn P40 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: [Hohhot Baita International Airport, locatedIn, Hohhot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohhot
Context triple: [Hohhot Baita International Airport, locatedIn, 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73061e90c81909badb0cd12b304a2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:29 p.m.