Triple

T4564412
Position Surface form Disambiguated ID Type / Status
Subject Bandung Institute of Technology campus E121873 entity
Predicate nearbyFeature P2064 FINISHED
Object Dago area of Bandung E22754 NE FINISHED

How this triple was built (2 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: Dago area of Bandung | Statement: [Bandung Institute of Technology campus, nearbyFeature, Dago area of Bandung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dago area of Bandung
Context triple: [Bandung Institute of Technology campus, nearbyFeature, Dago area of Bandung]
  • A. West Bandung Regency
    West Bandung Regency is an administrative region in West Java, Indonesia, known for its mountainous landscapes and popular tourist attractions such as the Tangkuban Perahu volcano.
  • B. Bandung metropolitan area
    The Bandung metropolitan area is a major urban and economic region in West Java, Indonesia, centered on the city of Bandung and its surrounding suburbs and satellite towns.
  • C. Bandung chosen
    Bandung is a large Indonesian city on the island of Java known for its cool climate, universities, colonial and art deco architecture, and role as a center of culture and technology.
  • D. Suidobashi area
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • E. Kita business district
    The Kita business district is one of Osaka’s main commercial and office hubs, centered around the Umeda area and known for its dense concentration of businesses, shopping complexes, and transportation links.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589b439c81908da9d19433310bcd completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a8ea5481908a652290e9df911f completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.