Triple

T19886732
Position Surface form Disambiguated ID Type / Status
Subject Jining E477917 entity
Predicate near P350 FINISHED
Object Zoucheng
Zoucheng is a county-level city in Shandong Province, China, historically known as the hometown of the ancient philosopher Mencius.
E1404734 NE FINISHED

How this triple was built (4 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: Zoucheng | Statement: [Jining, near, Zoucheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoucheng
Context triple: [Jining, near, Zoucheng]
  • A. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • B. Liáochéng
    Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
  • C. Yanzhou
    Yanzhou is an ancient historical region in what is now western Shandong, China, known as one of the traditional Nine Provinces of early Chinese civilization.
  • D. Zibo
    Zibo is an industrial and historical city in eastern China known for its ceramics, petrochemical industry, and role as a former capital of the ancient State of Qi.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zoucheng
Triple: [Jining, near, Zoucheng]
Generated description
Zoucheng is a county-level city in Shandong Province, China, historically known as the hometown of the ancient philosopher Mencius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zoucheng
Target entity description: Zoucheng is a county-level city in Shandong Province, China, historically known as the hometown of the ancient philosopher Mencius.
  • A. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • B. Liáochéng
    Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
  • C. Yanzhou
    Yanzhou is an ancient historical region in what is now western Shandong, China, known as one of the traditional Nine Provinces of early Chinese civilization.
  • D. Zibo
    Zibo is an industrial and historical city in eastern China known for its ceramics, petrochemical industry, and role as a former capital of the ancient State of Qi.
  • 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. chosen

Provenance (5 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65909fe0481908e22b60d04fe2b11 completed April 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdbbf76481908ec131f3dd4067aa completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe72f47c8190b63c6f528656329e completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a080261c6f88190a2ede168aab944b6 completed May 16, 2026, 5:36 a.m.
Created at: April 10, 2026, 1:52 p.m.