Triple

T8186613
Position Surface form Disambiguated ID Type / Status
Subject Dalian E191200 entity
Predicate locatedIn P40 FINISHED
Object Liaoning Province E71823 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: Liaoning Province | Statement: [Dalian, locatedIn, Liaoning Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liaoning Province
Context triple: [Dalian, locatedIn, Liaoning Province]
  • A. Liaoning chosen
    Liaoning is a northeastern coastal province of China known for its heavy industry, port cities, and role as a gateway to the Korean Peninsula.
  • B. Jilin Province
    Jilin Province is a northeastern Chinese province in the historical region of Manchuria, known for its cold climate, heavy industry, and significant Korean ethnic minority.
  • C. Fengtian Province
    Fengtian Province was a historical administrative region in northeastern China, centered on modern Liaoning, that played a key role in early 20th-century warlord and Manchurian politics.
  • D. Shandong
    Shandong is a coastal province in eastern China that has historically been a significant political, military, and cultural center, notably during various conflicts in modern Chinese history.
  • E. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4d9e01208190842170abf62d9afb completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3489fd8c8190a919aff6e3b3df31 completed April 1, 2026, 3:06 p.m.
Created at: March 30, 2026, 5:41 p.m.