Triple

T9072864
Position Surface form Disambiguated ID Type / Status
Subject Aeretes E217410 entity
Predicate nativeTo P410 FINISHED
Object Gansu E101155 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: Gansu | Statement: [Aeretes, nativeTo, Gansu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gansu
Context triple: [Aeretes, nativeTo, Gansu]
  • A. Gansu Province chosen
    Gansu Province is a north-central Chinese region historically significant as a Silk Road corridor and home to long stretches of the Great Wall and diverse desert and mountain landscapes.
  • B. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • C. Qinghai
    Qinghai is a vast, sparsely populated province in northwestern China known for its high-altitude plateau landscapes, salt lakes like Qinghai Lake, and role as the source region of major Asian rivers.
  • D. 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.
  • E. Xinjiang
    Xinjiang is a vast, historically Silk Road–linked region in northwestern China known for its diverse ethnic groups, strategic location, and complex cultural and political history.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ffa04819086be5763133c5067 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017aea1e481909f329ff451ed941c completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:12 p.m.