Triple

T8658055
Position Surface form Disambiguated ID Type / Status
Subject Ulanqab E205471 entity
Predicate borderedBy P224 FINISHED
Object Baotou E171888 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: Baotou | Statement: [Ulanqab, borderedBy, Baotou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baotou
Context triple: [Ulanqab, borderedBy, Baotou]
  • A. Baotou chosen
    Baotou is a major industrial city in Inner Mongolia, China, known especially for its steel production and nearby rare earth mineral processing.
  • B. 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.
  • C. Wuhai
    Wuhai is a prefecture-level industrial city in western Inner Mongolia, China, known for its coal mining, chemical industries, and location along the Yellow River.
  • D. 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.
  • E. Tongliao
    Tongliao is a prefecture-level city in eastern Inner Mongolia, China, known as a regional hub for agriculture, animal husbandry, and Mongolian culture.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc486d576081908ad28749c7971432 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef373a22c8190931b4107c68e7017 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:30 p.m.