Triple

T18582939
Position Surface form Disambiguated ID Type / Status
Subject 1976 Tangshan earthquake E454162 entity
Predicate location P40 FINISHED
Object Tangshan NE NERFINISHED

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: Tangshan | Statement: [1976 Tangshan earthquake, location, Tangshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangshan
Context triple: [1976 Tangshan earthquake, location, Tangshan]
  • A. Tangshan chosen
    Tangshan is a major industrial city in northern China, historically known for its coal mining, steel production, and the devastating 1976 earthquake.
  • B. Qinhuangdao
    Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
  • C. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • D. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • E. Kaiping
    Kaiping is a county-level city in Guangdong Province, China, known for its distinctive diaolou watchtowers and as part of the Sze Yup region with a strong overseas Chinese heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543d10b1c8190a401df810b7290c9 completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:44 a.m.