Triple

T20143245
Position Surface form Disambiguated ID Type / Status
Subject Zainuddin Abdul Madjid International Airport E491227 entity
Predicate cityServed P82 FINISHED
Object Mataram NE NERFINISHED

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: Mataram | Statement: [Zainuddin Abdul Madjid International Airport, cityServed, Mataram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mataram
Context triple: [Zainuddin Abdul Madjid International Airport, cityServed, Mataram]
  • A. Mataram
    Mataram was the principal urban and political center of the early Javanese Medang Kingdom, serving as a key hub of power and culture in central Java.
  • B. Mataram chosen
    Mataram is the capital and largest city of the Indonesian province of West Nusa Tenggara, located on the island of Lombok.
  • C. Semarapura
    Semarapura is the capital town of Bali’s Klungkung Regency, known for its traditional Balinese culture, historic royal court, and vibrant arts and markets.
  • D. Bima City
    Bima City is an urban municipality on the eastern part of Sumbawa Island in Indonesia, serving as a regional economic and cultural center.
  • E. Amlapura
    Amlapura is a town in eastern Bali, Indonesia, known as the main urban and cultural hub of the surrounding Karangasem area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.