Triple

T9586347
Position Surface form Disambiguated ID Type / Status
Subject G60 Shanghai–Kunming Expressway E231299 entity
Predicate connectsCity P4245 FINISHED
Object Kunming E86057 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: Kunming | Statement: [G60 Shanghai–Kunming Expressway, connectsCity, Kunming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunming
Context triple: [G60 Shanghai–Kunming Expressway, connectsCity, Kunming]
  • A. Yuxi
    Yuxi is a prefecture-level city in central Yunnan Province, China, known for its tobacco production and scenic plateau lake landscapes.
  • B. Kunming, China chosen
    Kunming, China is a major city in southwest China that served as a key World War II air base and supply hub, notably for the American Volunteer Group known as the Flying Tigers.
  • C. Ruili
    Ruili is a border city in southwestern Yunnan, China, known as a key gateway for trade and cultural exchange with Myanmar.
  • D. Chuxiong
    Chuxiong is a county-level city in central Yunnan Province, China, known as the seat of the Chuxiong Yi Autonomous Prefecture and for its significant Yi ethnic culture.
  • E. Wenshan
    Wenshan is a city in southwestern China known for its karst landscapes, ethnic diversity, and role as a regional center in Yunnan.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99eed8288190b74de991bb55b15b completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17917063c819084521bf2e61aee6b completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:06 p.m.