Triple

T19698842
Position Surface form Disambiguated ID Type / Status
Subject Anga E473037 entity
Predicate capital P234 FINISHED
Object Champapuri
Champapuri was the ancient capital city of the Anga kingdom in eastern India, historically significant as a regional political and cultural center.
E1391526 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: Champapuri | Statement: [Anga, capital, Champapuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champapuri
Context triple: [Anga, capital, Champapuri]
  • A. Ratanapura
    Ratanapura is the historical name of the Ava Kingdom, a prominent Burmese kingdom that ruled central Myanmar from the 14th to 16th centuries.
  • B. Banglamphu
    Banglamphu is a historic riverside neighborhood in central Bangkok known for its traditional markets, old-town atmosphere, and proximity to the famous Khao San Road.
  • C. Mongnai
    Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
  • D. Satsai
    Satsai is a celebrated collection of devotional and moral couplets in Braj Bhasha attributed to the poet-saint Tulsidas.
  • E. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • 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: Champapuri
Triple: [Anga, capital, Champapuri]
Generated description
Champapuri was the ancient capital city of the Anga kingdom in eastern India, historically significant as a regional political and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Champapuri
Target entity description: Champapuri was the ancient capital city of the Anga kingdom in eastern India, historically significant as a regional political and cultural center.
  • A. Ratanapura
    Ratanapura is the historical name of the Ava Kingdom, a prominent Burmese kingdom that ruled central Myanmar from the 14th to 16th centuries.
  • B. Banglamphu
    Banglamphu is a historic riverside neighborhood in central Bangkok known for its traditional markets, old-town atmosphere, and proximity to the famous Khao San Road.
  • C. Mongnai
    Mongnai is a historic town and former princely state in Myanmar’s Shan region, known for its role within the traditional Shan States.
  • D. Satsai
    Satsai is a celebrated collection of devotional and moral couplets in Braj Bhasha attributed to the poet-saint Tulsidas.
  • E. Pa’O
    Pa’O is a Karenic ethnic group of Myanmar and Thailand with its own distinct Tibeto-Burman language and cultural traditions.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b426608190a46abec3652a6ca0 completed April 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab94a8b481908a6610765401d1fa completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07ac51fddc8190840698fb5cee0ea0 completed May 15, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a07ae6493608190b8bc885ab8a916b2 completed May 15, 2026, 11:38 p.m.
Created at: April 10, 2026, 1:46 p.m.