Triple

T17938417
Position Surface form Disambiguated ID Type / Status
Subject Gopikas E448526 entity
Predicate associatedConcept P531 FINISHED
Object Rasa
Rasa is a key aesthetic and emotional concept in Indian art, literature, and performance, referring to the distilled mood or sentiment experienced by the audience.
 E1297479 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: Rasa | Statement: [Gopikas, associatedConcept, Rasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rasa
Context triple: [Gopikas, associatedConcept, Rasa]
  • A. Madha
    Madha is an Omani exclave town surrounded by the United Arab Emirates, known for its unique geopolitical position and belonging administratively to Oman’s Musandam Governorate.
  • B. Pandesara
    Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
  • C. Ikaan
    Ikaan is an alternate name for the Ukaan language, a Niger-Congo language spoken by a small community in southwestern Nigeria.
  • D. Dapchi
    Dapchi is a town in northeastern Nigeria known internationally as the site of the 2018 abduction of schoolgirls by Boko Haram.
  • E. Ruaka
    Ruaka is a rapidly growing residential and commercial suburb on the outskirts of Nairobi, Kenya, known for its proximity to upscale neighborhoods and major shopping centers.
  • 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: Rasa
Triple: [Gopikas, associatedConcept, Rasa]
Generated description
Rasa is a key aesthetic and emotional concept in Indian art, literature, and performance, referring to the distilled mood or sentiment experienced by the audience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rasa
Target entity description: Rasa is a key aesthetic and emotional concept in Indian art, literature, and performance, referring to the distilled mood or sentiment experienced by the audience.
  • A. Madha
    Madha is an Omani exclave town surrounded by the United Arab Emirates, known for its unique geopolitical position and belonging administratively to Oman’s Musandam Governorate.
  • B. Pandesara
    Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
  • C. Ikaan
    Ikaan is an alternate name for the Ukaan language, a Niger-Congo language spoken by a small community in southwestern Nigeria.
  • D. Dapchi
    Dapchi is a town in northeastern Nigeria known internationally as the site of the 2018 abduction of schoolgirls by Boko Haram.
  • E. Ruaka
    Ruaka is a rapidly growing residential and commercial suburb on the outskirts of Nairobi, Kenya, known for its proximity to upscale neighborhoods and major shopping centers.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9455fc81908bf595f9ed42c624 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032912ed588190b0b9889595883520 completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032a25344c8190a0894cf784492fe3 completed May 12, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_6a032b6033b48190b889bd4d98a58ea2 completed May 12, 2026, 1:30 p.m.
Created at: April 10, 2026, 10:21 a.m.