Triple

T8571352
Position Surface form Disambiguated ID Type / Status
Subject Liaocheng E202932 entity
Predicate borders P224 FINISHED
Object Dezhou E563426 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: Dezhou | Statement: [Liaocheng, borders, Dezhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dezhou
Context triple: [Liaocheng, borders, Dezhou]
  • A. Dezhou chosen
    Dezhou is a prefecture-level city in northwestern Shandong Province, China, known as a regional transport hub and for its agricultural and food-processing industries.
  • B. Binzhou
    Binzhou is a prefecture-level city in northern Shandong Province, China, located near the lower reaches of the Yellow River and known for its developing industrial and agricultural economy.
  • C. Qingzhou
    Qingzhou is a historic county-level city in eastern China known for its cultural heritage and location in central Shandong Province.
  • D. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • E. Jining
    Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea4223888190a56d9026ae0b9ec0 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8983bd3c819094457b5160bc928d completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:21 p.m.