Triple

T8235524
Position Surface form Disambiguated ID Type / Status
Subject Chifeng E192395 entity
Predicate hasAlternativeName P39 FINISHED
Object Ulan Qad E205471 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: Ulan Qad | Statement: [Chifeng, hasAlternativeName, Ulan Qad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulan Qad
Context triple: [Chifeng, hasAlternativeName, Ulan Qad]
  • A. Ulanqab chosen
    Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
  • B. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • C. Toktogul
    Toktogul is a town in central Kyrgyzstan known for its proximity to the Toktogul Reservoir and its role in regional hydropower and agriculture.
  • D. Ghalghai
    Ghalghai is the self-designation of the Ingush people, a Northeast Caucasian ethnic group native to the North Caucasus region of Russia.
  • E. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782931848190bcc54622f34e06a7 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67f7dcec81909b74fd2da3609fc3 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:46 p.m.