Triple

T16583664
Position Surface form Disambiguated ID Type / Status
Subject Yixian E402898 entity
Predicate hasVillage P4011 FINISHED
Object Lucun
Lucun is a village administered under Yixian County in China.
 E1220961 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: Lucun | Statement: [Yixian, hasVillage, Lucun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucun
Context triple: [Yixian, hasVillage, Lucun]
  • A. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • B. Lucusse
    Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
  • C. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • D. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • E. Liucura
    Liucura is a small Chilean town located in the Andean region of southern Chile, known for its proximity to the Pino Hachado mountain pass on the border with Argentina.
  • 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: Lucun
Triple: [Yixian, hasVillage, Lucun]
Generated description
Lucun is a village administered under Yixian County in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucun
Target entity description: Lucun is a village administered under Yixian County in China.
  • A. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • B. Lucusse
    Lucusse is a town and municipality in eastern Angola, known historically as a site of conflict during the Angolan Civil War.
  • C. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • D. Labungkari
    Labungkari is a town in Indonesia’s Southeast Sulawesi province, known as an administrative and local economic center in the region.
  • E. Liucura
    Liucura is a small Chilean town located in the Andean region of southern Chile, known for its proximity to the Pino Hachado mountain pass on the border with Argentina.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999f80c8190852fd4137bc45a80 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef2d6048190954144ab848760ec completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fc84390819083d9d2ac1c558827 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007068715c8190914ccac7b14103e4 completed May 10, 2026, 11:47 a.m.
Created at: April 10, 2026, 5:16 a.m.