Triple

T22689290
Position Surface form Disambiguated ID Type / Status
Subject Banjarese E561004 entity
Predicate primaryAreaOfUse P10000 FINISHED
Object Banjarmasin region 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: Banjarmasin region | Statement: [Banjarese, primaryAreaOfUse, Banjarmasin region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banjarmasin region
Context triple: [Banjarese, primaryAreaOfUse, Banjarmasin region]
  • A. Bengkulu
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial history.
  • B. Jambi
    Jambi is a province on the eastern coast of central Sumatra in Indonesia, known for its oil production, plantations, and the Batanghari River.
  • C. South Kalimantan
    South Kalimantan is a province on the island of Borneo in Indonesia, known for its rich Dayak and Banjar cultures, extensive river systems, and significant rainforest and mining areas.
  • D. Banjarmasin chosen
    Banjarmasin is a major riverine city in South Kalimantan, Indonesia, known for its historic floating markets and strategic location on the island of Borneo.
  • E. Central Kalimantan
    Central Kalimantan is a large, sparsely populated province on the island of Borneo in Indonesia, known for its extensive tropical rainforests, Dayak indigenous culture, and significant peatland ecosystems.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789931148190925ce9038c16413b completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.