Triple

T14564593
Position Surface form Disambiguated ID Type / Status
Subject Yangtze River shipping routes E341751 entity
Predicate connects P390 FINISHED
Object Luzhou E272600 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: Luzhou | Statement: [Yangtze River shipping routes, connects, Luzhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzhou
Context triple: [Yangtze River shipping routes, connects, Luzhou]
  • A. Luzhou
    Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
  • B. Luzhou chosen
    Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
  • C. Yibin
    Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
  • D. Langzhong
    Langzhong is an ancient county-level city in Sichuan, China, renowned for its well-preserved historic old town and traditional architecture along the Jialing River.
  • E. Quidong
    Quidong is a rural locality in New South Wales, Australia, situated within the Snowy Monaro 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.