Triple

T10029338
Position Surface form Disambiguated ID Type / Status
Subject Priangan Timur E204812 entity
Predicate hasMajorCity P316 FINISHED
Object Banjar E157769 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: Banjar | Statement: [Priangan Timur, hasMajorCity, Banjar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banjar
Context triple: [Priangan Timur, hasMajorCity, Banjar]
  • A. Banjar chosen
    Banjar is a city in the eastern part of West Java, Indonesia, known as a regional transit hub connecting West Java with Central Java.
  • B. Banjar
    Banjar is a small town in Himachal Pradesh, India, known as a gateway to the Great Himalayan National Park and the scenic Tirthan Valley.
  • C. Banjar
    Banjar are an indigenous ethnic group of South Kalimantan in Indonesian Borneo, known for their Malay-influenced culture, river-based settlements, and historical role in regional trade and sultanates.
  • D. Kota Belimbing
    Kota Belimbing is a popular nickname for the Indonesian city of Depok, highlighting its association with the starfruit (belimbing) that is widely cultivated there.
  • E. Batang
    Batang is a regency-level town and administrative center on the northern coast of Central Java, Indonesia, known for its coastal economy and role as a regional transport hub.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a17359081908c3ef7df819c74f9 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:54 p.m.