Triple

T6562528
Position Surface form Disambiguated ID Type / Status
Subject Kampung Tridi E153817 entity
Predicate hasLocalName P6353 FINISHED
Object Kampung 3D
Kampung 3D is a colorful, tourism-oriented urban neighborhood in Malang, Indonesia, known for its vibrant 3D street art and murals that transform the area into an open-air gallery.
E603005 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: Kampung 3D | Statement: [Kampung Tridi, hasLocalName, Kampung 3D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kampung 3D
Context triple: [Kampung Tridi, hasLocalName, Kampung 3D]
  • A. Kabu Kabu
    Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. Kumandian
    Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
  • D. Rancaekek
    Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
  • E. Damai
    Damai is a major Chinese online ticketing platform specializing in live entertainment events such as concerts, theater, and sports.
  • 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: Kampung 3D
Triple: [Kampung Tridi, hasLocalName, Kampung 3D]
Generated description
Kampung 3D is a colorful, tourism-oriented urban neighborhood in Malang, Indonesia, known for its vibrant 3D street art and murals that transform the area into an open-air gallery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kampung 3D
Target entity description: Kampung 3D is a colorful, tourism-oriented urban neighborhood in Malang, Indonesia, known for its vibrant 3D street art and murals that transform the area into an open-air gallery.
  • A. Kabu Kabu
    Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. Kumandian
    Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
  • D. Rancaekek
    Rancaekek is a suburban district in West Java, Indonesia, known as a growing residential and industrial area on the eastern outskirts of Bandung.
  • E. Damai
    Damai is a major Chinese online ticketing platform specializing in live entertainment events such as concerts, theater, and sports.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae38e94081908f964d130f9147d8 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d676e43081909bf2a9cceff0b9b3 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d843bad081909ebb887f32ea4195 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:52 p.m.