Triple

T5552921
Position Surface form Disambiguated ID Type / Status
Subject Ketambe E145568 entity
Predicate locatedIn P40 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: [Ketambe, locatedIn, Aceh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aceh
Context triple: [Ketambe, locatedIn, 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. Banda Aceh
    Banda Aceh is the largest city in Indonesia’s Aceh province, known as a historic center of Islamic culture and for being one of the areas hardest hit by the 2004 Indian Ocean tsunami.
  • E. 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.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff872bc81908e14776f7ba4154e completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283878d88190ac60064e604aa002 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.