Triple

T5751916
Position Surface form Disambiguated ID Type / Status
Subject Simu Liu E126872 entity
Predicate placeOfBirth P1 FINISHED
Object Harbin, Heilongjiang, China 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, Heilongjiang, China | Statement: [Simu Liu, placeOfBirth, Harbin, Heilongjiang, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harbin, Heilongjiang, China
Context triple: [Simu Liu, placeOfBirth, Harbin, Heilongjiang, China]
  • 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. Hegang
    Hegang is a coal-mining city in northeastern Heilongjiang Province, China, located near the Russian border along the Amur River region.
  • C. Daqing
    Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
  • D. 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.
  • E. 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.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3a50b88190a943b2d91d3c5b8e completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.