Triple

T22593774
Position Surface form Disambiguated ID Type / Status
Subject Ulaanbaatar Railway E574617 entity
Predicate connectsCity P4245 FINISHED
Object Erlian
Erlian is a border town in northern China’s Inner Mongolia region that serves as a key rail and trade gateway between China and Mongolia.
 E1544771 NE FINISHED

How this triple was built (4 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: Erlian | Statement: [Ulaanbaatar Railway, connectsCity, Erlian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erlian
Context triple: [Ulaanbaatar Railway, connectsCity, Erlian]
  • A. Zalingei
    Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
  • B. Ghalghai
    Ghalghai is the self-designation of the Ingush people, a Northeast Caucasian ethnic group native to the North Caucasus region of Russia.
  • C. Zhalantun
    Zhalantun is a county-level city in northeastern Inner Mongolia, China, known for its forests, grasslands, and role as an agricultural and forestry center.
  • D. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • E. Khovd
    Khovd is a historically significant city in western Mongolia that serves as a regional cultural and economic center near the Altai Mountains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Erlian
Triple: [Ulaanbaatar Railway, connectsCity, Erlian]
Generated description
Erlian is a border town in northern China’s Inner Mongolia region that serves as a key rail and trade gateway between China and Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erlian
Target entity description: Erlian is a border town in northern China’s Inner Mongolia region that serves as a key rail and trade gateway between China and Mongolia.
  • A. Zalingei
    Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
  • B. Ghalghai
    Ghalghai is the self-designation of the Ingush people, a Northeast Caucasian ethnic group native to the North Caucasus region of Russia.
  • C. Zhalantun
    Zhalantun is a county-level city in northeastern Inner Mongolia, China, known for its forests, grasslands, and role as an agricultural and forestry center.
  • D. Sayran
    Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
  • E. Khovd
    Khovd is a historically significant city in western Mongolia that serves as a regional cultural and economic center near the Altai Mountains.
  • F. None of above. chosen

Provenance (5 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5e31308190a11bff9270795efd completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e908a308190af37f63904f38915 completed May 18, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 17, 2026, 2:49 p.m.