Triple

T11422685
Position Surface form Disambiguated ID Type / Status
Subject Ampang Jaya E270663 entity
Predicate hasSubdivision P747 FINISHED
Object Taman Dagang
Taman Dagang is a residential neighborhood located within the municipality of Ampang Jaya in Selangor, Malaysia.
E924599 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: Taman Dagang | Statement: [Ampang Jaya, hasSubdivision, Taman Dagang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taman Dagang
Context triple: [Ampang Jaya, hasSubdivision, Taman Dagang]
  • A. Taman
    Taman is a Nilo-Saharan language spoken by the Taman people in parts of Chad and Sudan.
  • B. Taman Ujung
    Taman Ujung is a historic water palace and scenic royal garden complex in eastern Bali, Indonesia, known for its ornate pools, pavilions, and ocean views.
  • C. Panangkaran
    Panangkaran was an 8th-century Javanese king of the Sailendra dynasty known for his patronage of Mahayana Buddhism and the construction of major temple complexes in Central Java.
  • D. Balai Besar
    Balai Besar is a historic royal audience hall and ceremonial building located in Alor Setar, Kedah, Malaysia.
  • E. Taman Sari
    Taman Sari is a district in Bogor Regency, West Java, Indonesia, known for its cool highland climate and proximity to Mount Salak.
  • 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: Taman Dagang
Triple: [Ampang Jaya, hasSubdivision, Taman Dagang]
Generated description
Taman Dagang is a residential neighborhood located within the municipality of Ampang Jaya in Selangor, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taman Dagang
Target entity description: Taman Dagang is a residential neighborhood located within the municipality of Ampang Jaya in Selangor, Malaysia.
  • A. Taman
    Taman is a Nilo-Saharan language spoken by the Taman people in parts of Chad and Sudan.
  • B. Taman Ujung
    Taman Ujung is a historic water palace and scenic royal garden complex in eastern Bali, Indonesia, known for its ornate pools, pavilions, and ocean views.
  • C. Panangkaran
    Panangkaran was an 8th-century Javanese king of the Sailendra dynasty known for his patronage of Mahayana Buddhism and the construction of major temple complexes in Central Java.
  • D. Balai Besar
    Balai Besar is a historic royal audience hall and ceremonial building located in Alor Setar, Kedah, Malaysia.
  • E. Taman Sari
    Taman Sari is a district in Bogor Regency, West Java, Indonesia, known for its cool highland climate and proximity to Mount Salak.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
NEDg Description generation batch_69e5c28e2dd481909b45a43b5825f393 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c4722c348190a4c49edb1f6df240 completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:34 p.m.