Triple

T20565422
Position Surface form Disambiguated ID Type / Status
Subject Minangkabau kingdom E504952 entity
Predicate coreArea P14400 FINISHED
Object Lima Puluh Kota 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: Lima Puluh Kota | Statement: [Minangkabau kingdom, coreArea, Lima Puluh Kota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Puluh Kota
Context triple: [Minangkabau kingdom, coreArea, Lima Puluh Kota]
  • A. Lima Puluh Kota Regency chosen
    Lima Puluh Kota Regency is an administrative region in West Sumatra, Indonesia, known for its highland landscapes and as the birthplace of Indonesian independence figure Tan Malaka.
  • 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. Lubuklinggau
    Lubuklinggau is a significant urban center in western South Sumatra, Indonesia, known as a regional hub for trade and transportation.
  • D. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • E. Poso Regency
    Poso Regency is an administrative region in Central Sulawesi, Indonesia, known for its cultural and linguistic diversity, including indigenous communities such as Bada speakers.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a228948190b47a3a61f239e00d completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.