Triple

T12707840
Position Surface form Disambiguated ID Type / Status
Subject Yingkou E303634 entity
Predicate administers P123 FINISHED
Object Gaizhou
Gaizhou is a county-level city in Liaoning Province, China, known for its location near the Bohai Sea and its administration under the prefecture-level city of Yingkou.
E1001575 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: Gaizhou | Statement: [Yingkou, administers, Gaizhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaizhou
Context triple: [Yingkou, administers, Gaizhou]
  • A. 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.
  • B. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • E. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • 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: Gaizhou
Triple: [Yingkou, administers, Gaizhou]
Generated description
Gaizhou is a county-level city in Liaoning Province, China, known for its location near the Bohai Sea and its administration under the prefecture-level city of Yingkou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gaizhou
Target entity description: Gaizhou is a county-level city in Liaoning Province, China, known for its location near the Bohai Sea and its administration under the prefecture-level city of Yingkou.
  • A. 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.
  • B. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • C. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • D. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • E. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e43424819080659ab152caae52 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:23 p.m.