Triple

T27458610
Position Surface form Disambiguated ID Type / Status
Subject Sultanganj E692668 entity
Predicate hasHistoricalArtifact P86849 FINISHED
Object Sultanganj Buddha
The Sultanganj Buddha is a large 7th-century Gupta-period bronze statue of the Buddha, renowned as one of the finest and earliest surviving examples of Indian metal sculpture.
E1773392 NE FINISHED

How this triple was built (3 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: Sultanganj Buddha | Statement: [Sultanganj, hasHistoricalArtifact, Sultanganj Buddha]
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: Sultanganj Buddha
Triple: [Sultanganj, hasHistoricalArtifact, Sultanganj Buddha]
Generated description
The Sultanganj Buddha is a large 7th-century Gupta-period bronze statue of the Buddha, renowned as one of the finest and earliest surviving examples of Indian metal sculpture.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalArtifact
Context triple: [Sultanganj, hasHistoricalArtifact, Sultanganj Buddha]
  • A. hasHistoricSite
    Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
  • B. hasArchaeologicalMaterial chosen
    Indicates that an entity possesses, contains, or is associated with specific archaeological materials or artifacts.
  • C. hasHistoricSignificanceFor
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • D. hasHistoricKit
    Indicates that an entity possesses or is associated with a historically significant version or design of a kit (e.g., uniform, equipment set, or standard set of items).
  • E. hasHistoricalSignificanceThrough
    Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
  • F. None of above.

Provenance (6 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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69fb6fdc7eb081908ab8475efb38c430 completed May 6, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b265070c81909a92a6d644bce0d0 completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b379225c8190aca2d280575a3f7a completed May 24, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_6a12b44191688190899b55266e559ede completed May 24, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69fb5a986e588190b7a10892bd2ff44c completed May 6, 2026, 3:13 p.m.
Created at: April 27, 2026, 12:49 p.m.