Triple

T19580718
Position Surface form Disambiguated ID Type / Status
Subject Northeast China rail network E489979 entity
Predicate connects P390 FINISHED
Object Chifeng NE NERFINISHED

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: Chifeng | Statement: [Northeast China rail network, connects, Chifeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chifeng
Context triple: [Northeast China rail network, connects, Chifeng]
  • A. Chifeng chosen
    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.
  • B. 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.
  • C. Tongliao
    Tongliao is a prefecture-level city in eastern Inner Mongolia, China, known as a regional hub for agriculture, animal husbandry, and Mongolian culture.
  • D. 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.
  • E. Hohhot
    Hohhot is the capital and largest city of Inner Mongolia in northern China, known as a regional center of politics, culture, and industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.