Triple

T25489412
Position Surface form Disambiguated ID Type / Status
Subject Bhagavata Mela Natakam E638798 entity
Predicate hasKeyLocation P18908 FINISHED
Object Soolamangalam
Soolamangalam is a village in Tamil Nadu, India, known for its traditional performance of Bhagavata Mela Natakam, a classical dance-drama form dedicated to Hindu mythological themes.
E1690924 NE FINISHED

How this triple was built (2 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: Soolamangalam | Statement: [Bhagavata Mela Natakam, hasKeyLocation, Soolamangalam]
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: Soolamangalam
Triple: [Bhagavata Mela Natakam, hasKeyLocation, Soolamangalam]
Generated description
Soolamangalam is a village in Tamil Nadu, India, known for its traditional performance of Bhagavata Mela Natakam, a classical dance-drama form dedicated to Hindu mythological themes.

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_69e75dbabeac8190bab30628f8b799d4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f7a205688190b8f36bff5013247c completed May 2, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c12613fc819095d0eeb206cdf275 completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c3830d54819084bc81792dcf73cd completed May 22, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_6a10c3efa1648190a3654902e64e9a9c completed May 22, 2026, 9 p.m.
Created at: April 21, 2026, 2:34 p.m.