Triple

T26925523
Position Surface form Disambiguated ID Type / Status
Subject Kumaradevi E677768 entity
Predicate hasPortraitOn P24424 FINISHED
Object Gupta gold coins
Gupta gold coins are ancient Indian gold currency issued by the Gupta dynasty, renowned for their high artistic quality and detailed depictions of rulers and deities.
 E1747121 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: Gupta gold coins | Statement: [Kumaradevi, hasPortraitOn, Gupta gold coins]
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: Gupta gold coins
Triple: [Kumaradevi, hasPortraitOn, Gupta gold coins]
Generated description
Gupta gold coins are ancient Indian gold currency issued by the Gupta dynasty, renowned for their high artistic quality and detailed depictions of rulers and deities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPortraitOn
Context triple: [Kumaradevi, hasPortraitOn, Gupta gold coins]
  • A. hasPortrait chosen
    Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
  • B. hasPortraitSeries
    Indicates that an entity is part of, or associated with, a specific series or collection of portrait images.
  • C. hasPhotoOn
    Indicates that one entity has an associated photograph stored, displayed, or linked on another entity (such as a platform, page, or medium).
  • D. hasPhotograph
    Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
  • E. hasPhotographAt
    Indicates that a photograph depicting an entity was taken or exists at a specific location 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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ebccac88190b4e2c1a28a0c3b29 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a121ffdc9548190bd0d216c3a7c3bcd completed May 23, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a122078a0508190b8f96fdd942595bc completed May 23, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: April 27, 2026, 6:09 a.m.