Triple

T10066047
Position Surface form Disambiguated ID Type / Status
Subject Lebak Regency E213104 entity
Predicate containsSettlement P847 FINISHED
Object Malingping
Malingping is a coastal town and district in Lebak Regency, Banten Province, Indonesia, known for its beaches and fishing communities.
 E838890 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: Malingping | Statement: [Lebak Regency, containsSettlement, Malingping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malingping
Context triple: [Lebak Regency, containsSettlement, Malingping]
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Wuping
    Wuping was an era name used during the Northern Qi dynasty in imperial China, marking a specific reign period within that dynasty’s rule.
  • C. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • D. Bingchang
    Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
  • E. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • 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: Malingping
Triple: [Lebak Regency, containsSettlement, Malingping]
Generated description
Malingping is a coastal town and district in Lebak Regency, Banten Province, Indonesia, known for its beaches and fishing communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malingping
Target entity description: Malingping is a coastal town and district in Lebak Regency, Banten Province, Indonesia, known for its beaches and fishing communities.
  • A. Dayong
    Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
  • B. Wuping
    Wuping was an era name used during the Northern Qi dynasty in imperial China, marking a specific reign period within that dynasty’s rule.
  • C. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • D. Bingchang
    Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
  • E. Jindian
    Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a84c3308190ba9286053c1017dc completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b985e308190a6ec3966e02f429c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c5f64c881909aa3d093422fe475 completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:58 p.m.