Triple

T16435645
Position Surface form Disambiguated ID Type / Status
Subject Minyue E399174 entity
Predicate capital P234 FINISHED
Object Dongye
Dongye was the ancient capital city of the Minyue kingdom in what is now southeastern China.
 E1214024 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: Dongye | Statement: [Minyue, capital, Dongye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dongye
Context triple: [Minyue, capital, Dongye]
  • A. Gongjin
    Gongjin is the courtesy name of Zhou Yu, a renowned Eastern Han dynasty military general and strategist best known for his role in the Battle of Red Cliffs.
  • B. Seochon
    Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
  • C. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • E. Hwangje
    Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
  • 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: Dongye
Triple: [Minyue, capital, Dongye]
Generated description
Dongye was the ancient capital city of the Minyue kingdom in what is now southeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dongye
Target entity description: Dongye was the ancient capital city of the Minyue kingdom in what is now southeastern China.
  • A. Gongjin
    Gongjin is the courtesy name of Zhou Yu, a renowned Eastern Han dynasty military general and strategist best known for his role in the Battle of Red Cliffs.
  • B. Seochon
    Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
  • C. Eonyang
    Eonyang is a town in South Korea that serves as the administrative and commercial center of Ulju County in Ulsan.
  • D. Sungsang
    Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
  • E. Hwangje
    Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba224988190b7cccc42f35e54de completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045893c5481909e5ffa9460dc5b3d completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a0049a7079881909d6edc17aa80536c completed May 10, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a004aba97348190870f366bf9364761 completed May 10, 2026, 9:07 a.m.
Created at: April 10, 2026, 5:10 a.m.