Triple

T9179264
Position Surface form Disambiguated ID Type / Status
Subject Perlis Indera Kayangan E220277 entity
Predicate hasBorderTown P847 FINISHED
Object Padang Besar E220281 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: Padang Besar | Statement: [Perlis Indera Kayangan, hasBorderTown, Padang Besar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padang Besar
Context triple: [Perlis Indera Kayangan, hasBorderTown, Padang Besar]
  • A. Padang Besar chosen
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • B. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • C. Ketapang
    Ketapang is a key ferry port town in East Java, Indonesia, serving as a primary gateway for sea crossings between Java and Bali.
  • D. Bengkulu
    Bengkulu is a province on the southwest coast of the Indonesian island of Sumatra, known for its Indian Ocean shoreline and colonial history.
  • E. Pontianak
    Pontianak is the capital city of West Kalimantan on the island of Borneo in Indonesia, known as an equatorial river port with a significant Chinese Indonesian community.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25064588190856c96b229d9cd60 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0eeb0c8190a5a22c662726805c completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.