Triple

T14129877
Position Surface form Disambiguated ID Type / Status
Subject Beijing–Harbin railway E340133 entity
Predicate passesThrough P225 FINISHED
Object Jilin E147072 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: Jilin | Statement: [Beijing–Harbin railway, passesThrough, Jilin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jilin
Context triple: [Beijing–Harbin railway, passesThrough, Jilin]
  • A. Jilin Province chosen
    Jilin Province is a northeastern Chinese province in the historical region of Manchuria, known for its cold climate, heavy industry, and significant Korean ethnic minority.
  • B. Jianzhou
    Jianzhou was a historical region in northeastern China that served as the homeland of the Jurchen leader Nurhaci and a cradle of the later Manchu state.
  • C. Liaoning
    Liaoning is a northeastern coastal province of China known for its heavy industry, port cities, and role as a gateway to the Korean Peninsula.
  • D. Heilongjiang
    Heilongjiang is a northeastern Chinese province known for its cold climate, heavy industry, and border with Russia.
  • E. Chagang Province
    Chagang Province is a mountainous, heavily militarized region in northwestern North Korea bordering China, known for its defense industries and restricted access.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193728d88190acdb08ad0cf8b394 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 10:23 p.m.