Triple

T8032021
Position Surface form Disambiguated ID Type / Status
Subject Hinggan League E187006 entity
Predicate borderingRegion P17964 FINISHED
Object Tongliao E195976 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: Tongliao | Statement: [Hinggan League, borderingRegion, Tongliao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongliao
Context triple: [Hinggan League, borderingRegion, Tongliao]
  • A. Tongliao chosen
    Tongliao is a prefecture-level city in eastern Inner Mongolia, China, known as a regional hub for agriculture, animal husbandry, and Mongolian culture.
  • 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. Hulunbuir
    Hulunbuir is a vast prefecture-level city in northeastern China renowned for its expansive grasslands, diverse ethnic cultures, and rich natural resources.
  • E. Baotou
    Baotou is a major industrial city in Inner Mongolia, China, known especially for its steel production and nearby rare earth mineral processing.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:22 p.m.