Triple

T15507126
Position Surface form Disambiguated ID Type / Status
Subject Northeast China industrial base E379110 entity
Predicate majorCity P316 FINISHED
Object Harbin E180578 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: Harbin | Statement: [Northeast China industrial base, majorCity, Harbin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harbin
Context triple: [Northeast China industrial base, majorCity, Harbin]
  • A. Harbin chosen
    Harbin is a major city in northeastern China known for its Russian-influenced architecture and its internationally famous annual ice and snow festival.
  • B. Qiqihar
    Qiqihar is a major industrial city in northeastern China’s Heilongjiang province, known historically as a regional transportation hub and center for heavy industry.
  • C. Jiamusi
    Jiamusi is a prefecture-level city in northeastern China’s Heilongjiang province, known as an important regional industrial and transportation hub.
  • D. Hegang
    Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
  • E. Mudanjiang
    Mudanjiang is a prefecture-level city in southeastern Heilongjiang Province in northeastern China, known as a regional transport hub and gateway to nearby scenic and border areas.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90887ef48190b6148830803669dd completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:55 a.m.