Triple

T9008554
Position Surface form Disambiguated ID Type / Status
Subject Dali E215405 entity
Predicate nearbyCity P350 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: [Dali, nearbyCity, Kunming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunming
Context triple: [Dali, nearbyCity, 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bed8588190afc9cbca12b75a3b completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047665204819090fe9c74fd64659e completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:06 p.m.