Triple

T3907142
Position Surface form Disambiguated ID Type / Status
Subject National Biathlon Centre E87229 entity
Predicate locatedIn P40 FINISHED
Object Chongli District E422732 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: Chongli District | Statement: [National Biathlon Centre, locatedIn, Chongli District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chongli District
Context triple: [National Biathlon Centre, locatedIn, Chongli District]
  • A. Chongli District chosen
    Chongli District is a mountainous area in Zhangjiakou, Hebei, China, known as a major winter sports hub and a key venue region for the Beijing 2022 Winter Olympics.
  • B. Yanqing District
    Yanqing District is a mountainous suburban district of Beijing, China, known for hosting alpine skiing and sliding events during the 2022 Winter Olympics.
  • C. Congtai District
    Congtai District is a central urban district of Handan City in Hebei Province, China, serving as one of its main administrative and commercial areas.
  • D. Qilihe District
    Qilihe District is an urban administrative district of Lanzhou, the capital city of Gansu Province in northwestern China.
  • E. Mentougou District
    Mentougou District is a mountainous suburban district in western Beijing, China, known for its coal mining history, scenic landscapes, and role as an ecological conservation area.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a82c551c8190a97fdc5a96cf131c completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:22 p.m.