Triple

T38546063
Position Surface form Disambiguated ID Type / Status
Subject Five Takhts of Sikhism E924966 entity
Predicate hasPart P35 FINISHED
Object Takht Sri Damdama Sahib
Takht Sri Damdama Sahib is one of Sikhism’s five highest temporal seats of authority, historically associated with Guru Gobind Singh’s final revision of the Guru Granth Sahib.
E2279247 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: Takht Sri Damdama Sahib | Statement: [Five Takhts of Sikhism, hasPart, Takht Sri Damdama Sahib]
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: Takht Sri Damdama Sahib
Triple: [Five Takhts of Sikhism, hasPart, Takht Sri Damdama Sahib]
Generated description
Takht Sri Damdama Sahib is one of Sikhism’s five highest temporal seats of authority, historically associated with Guru Gobind Singh’s final revision of the Guru Granth Sahib.

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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2ee29a081908309dba59b18686a completed May 7, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd4ae44881908363c1826e586564 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe5538388190928844feec401ee0 completed June 29, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a41fec71d2881908cf49cf62cc129c6 completed June 29, 2026, 5:12 a.m.
Created at: May 3, 2026, 4:32 p.m.