Triple

T9582835
Position Surface form Disambiguated ID Type / Status
Subject Raja of Perlis E231214 entity
Predicate residence P75 FINISHED
Object Arau E220279 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: Arau | Statement: [Raja of Perlis, residence, Arau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arau
Context triple: [Raja of Perlis, residence, Arau]
  • A. Arau chosen
    Arau is a small Malaysian town that serves as the royal seat of the state of Perlis and is known for its palace and role in state ceremonies.
  • B. Arau
    Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
  • C. Heredia
    Heredia is a historic city in Costa Rica known for its colonial architecture, vibrant university life, and location in the country’s Central Valley.
  • D. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • E. Apure State
    Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1616a11688190ba47343e4fd913fd completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.