Triple

T1972054
Position Surface form Disambiguated ID Type / Status
Subject Perlis E42822 entity
Predicate royalCapital P234 FINISHED
Object Arau
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.
 E220279 NE FINISHED

How this triple was built (4 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: [Perlis, royalCapital, Arau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arau
Context triple: [Perlis, royalCapital, Arau]
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • D. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • E. Huichapan
    Huichapan is a historic town and municipality in central Mexico known for its colonial architecture and role in the country’s independence movement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arau
Triple: [Perlis, royalCapital, Arau]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arau
Target entity description: 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.
  • A. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Arausio
    Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
  • D. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • E. Huichapan
    Huichapan is a historic town and municipality in central Mexico known for its colonial architecture and role in the country’s independence movement.
  • F. None of above. chosen

Provenance (5 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c698748190a10da0901952df07 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbdb5d7c8190ab3e7c368041c641 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfcae8a348190aa5688d0d183c323 completed March 8, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69adfd713c4081908a2fae2fada76dae completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.