Triple

T5618410
Position Surface form Disambiguated ID Type / Status
Subject Lumajang Regency E147536 entity
Predicate seat P75 FINISHED
Object Lumajang
Lumajang is a town in East Java, Indonesia, known as an administrative and commercial center near the slopes of Mount Semeru.
 E147536 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: Lumajang | Statement: [Lumajang Regency, seat, Lumajang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lumajang
Context triple: [Lumajang Regency, seat, Lumajang]
  • A. Lumajang Regency
    Lumajang Regency is an administrative region in East Java, Indonesia, known for encompassing part of the area around Mount Semeru, the country’s highest volcano.
  • B. Banyuwangi
    Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
  • C. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • E. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • 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: Lumajang
Triple: [Lumajang Regency, seat, Lumajang]
Generated description
Lumajang is a town in East Java, Indonesia, known as an administrative and commercial center near the slopes of Mount Semeru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lumajang
Target entity description: Lumajang is a town in East Java, Indonesia, known as an administrative and commercial center near the slopes of Mount Semeru.
  • A. Lumajang Regency chosen
    Lumajang Regency is an administrative region in East Java, Indonesia, known for encompassing part of the area around Mount Semeru, the country’s highest volcano.
  • B. Banyuwangi
    Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
  • C. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • E. Jember
    Jember is a regency and major urban center in eastern Java, Indonesia, known for its agricultural economy and cultural festivals such as the Jember Fashion Carnaval.
  • F. None of above.

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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dd5d0081909d18d16596fac507 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d55b95c8190a5f3e2c05249c136 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7b889c81909db7cb4baf40ed80 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:40 p.m.