Triple

T7412879
Position Surface form Disambiguated ID Type / Status
Subject Nara E171053 entity
Predicate hasAlternativeName P39 FINISHED
Object Baria
Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
 E664777 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: Baria | Statement: [Nara, hasAlternativeName, Baria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baria
Context triple: [Nara, hasAlternativeName, Baria]
  • A. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • B. Agrai
    Agrai was an ancient deme of Attica in Greece, known as the site of the Lesser Mysteries associated with the Eleusinian cult.
  • C. Bogra
    Bogra is a major city and commercial hub in northern Bangladesh, historically part of the Bengal region.
  • D. Muktsar
    Muktsar is a historic town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar fought in 1705.
  • E. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • 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: Baria
Triple: [Nara, hasAlternativeName, Baria]
Generated description
Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baria
Target entity description: Baria is an alternative name for the city of Nara, an ancient cultural and historical center in Japan renowned for its temples and traditional heritage.
  • A. Khanakul
    Khanakul is a town in the Hooghly district of West Bengal, India, known for its rural setting and local agricultural economy.
  • B. Agrai
    Agrai was an ancient deme of Attica in Greece, known as the site of the Lesser Mysteries associated with the Eleusinian cult.
  • C. Bogra
    Bogra is a major city and commercial hub in northern Bangladesh, historically part of the Bengal region.
  • D. Muktsar
    Muktsar is a historic town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar fought in 1705.
  • E. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82779a1d8819098f136291fa42433 completed March 28, 2026, 7:09 p.m.
NEDg Description generation batch_69c82817899081909436781c9f249c1d completed March 28, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c828a5c2f88190aedd55d40520c672 completed March 28, 2026, 7:14 p.m.
Created at: March 27, 2026, 3:11 p.m.