Triple

T3109965
Position Surface form Disambiguated ID Type / Status
Subject Shanxi Province E64927 entity
Predicate borders P224 FINISHED
Object Henan Province E35116 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: Henan Province | Statement: [Shanxi Province, borders, Henan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henan Province
Context triple: [Shanxi Province, borders, Henan Province]
  • A. Henan Province chosen
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • B. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • C. Shaanxi Province
    Shaanxi Province is a landlocked region in north-central China known for its historical capital Xi'an and the Terracotta Army of Emperor Qin Shi Huang.
  • D. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • E. Zhejiang Province
    Zhejiang Province is a coastal province in eastern China known for its dynamic private-sector economy, major port cities like Ningbo, and scenic areas such as Hangzhou and the West Lake.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3601894819082568a7ee8d6aabc completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:04 p.m.