Triple

T3959073
Position Surface form Disambiguated ID Type / Status
Subject Acehnese E85855 entity
Predicate primaryRegion P1103 FINISHED
Object Aceh E89870 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: Aceh | Statement: [Acehnese, primaryRegion, Aceh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aceh
Context triple: [Acehnese, primaryRegion, Aceh]
  • A. Aceh chosen
    Aceh is a special autonomous province at the northern tip of the Indonesian island of Sumatra, known for its distinct Islamic heritage and historical role as a major trading center.
  • B. North Sumatra
    North Sumatra is a populous province on the Indonesian island of Sumatra, known for its diverse cultures, Lake Toba, and the city of Medan as its capital.
  • C. West Sumatra
    West Sumatra is an Indonesian province on the island of Sumatra known for its Minangkabau culture, distinctive architecture, and spicy Padang cuisine.
  • D. Malaka Regency
    Malaka Regency is an administrative region in the western part of Timor Island in Indonesia, known for its predominantly rural communities and agricultural-based economy.
  • E. Lampung
    Lampung is a province at the southern tip of the Indonesian island of Sumatra, known for its coastal landscapes, agriculture, and proximity to the Sunda Strait.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95ef8988190ba504cdfc217c4fa completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b57ad08190972d385a133c73b8 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.