Triple

T7515158
Position Surface form Disambiguated ID Type / Status
Subject Vanga E177619 entity
Predicate relatedTo P37 FINISHED
Object Suhma
Suhma is an ancient region or kingdom of eastern India, often mentioned in early Indian historical and mythological sources alongside neighboring areas like Vanga.
E670302 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: Suhma | Statement: [Vanga, relatedTo, Suhma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suhma
Context triple: [Vanga, relatedTo, Suhma]
  • A. Suhum
    Suhum is a prominent town in Ghana that serves as a commercial and administrative center within the country's Eastern Region.
  • B. Suleja
    Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • E. Sabya
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • 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: Suhma
Triple: [Vanga, relatedTo, Suhma]
Generated description
Suhma is an ancient region or kingdom of eastern India, often mentioned in early Indian historical and mythological sources alongside neighboring areas like Vanga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suhma
Target entity description: Suhma is an ancient region or kingdom of eastern India, often mentioned in early Indian historical and mythological sources alongside neighboring areas like Vanga.
  • A. Suhum
    Suhum is a prominent town in Ghana that serves as a commercial and administrative center within the country's Eastern Region.
  • B. Suleja
    Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Shimona
    Shimona is a feminine given name, typically considered a variant of Simone.
  • E. Sabya
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.