Triple

T7352058
Position Surface form Disambiguated ID Type / Status
Subject Navagraha Temple E169524 entity
Predicate hasDeity P5606 FINISHED
Object Rahu
Rahu is a shadowy celestial deity in Hindu astrology and mythology, associated with eclipses, karmic obstacles, and one of the nine planetary influences (Navagraha).
 E659121 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: Rahu | Statement: [Navagraha Temple, hasDeity, Rahu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rahu
Context triple: [Navagraha Temple, hasDeity, Rahu]
  • A. Varuna
    Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
  • B. Varuna
    Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
  • C. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • D. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • E. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • 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: Rahu
Triple: [Navagraha Temple, hasDeity, Rahu]
Generated description
Rahu is a shadowy celestial deity in Hindu astrology and mythology, associated with eclipses, karmic obstacles, and one of the nine planetary influences (Navagraha).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rahu
Target entity description: Rahu is a shadowy celestial deity in Hindu astrology and mythology, associated with eclipses, karmic obstacles, and one of the nine planetary influences (Navagraha).
  • A. Varuna
    Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
  • B. Varuna
    Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
  • C. Luna
    Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
  • D. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • E. Luna
    Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10b4adc81909a5a0eacaf2b1887 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa99a9148190b67e49c8c8674042 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbbff6f081909b694dea7e572ec2 completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc2f66248190bac3fa24d530b938 completed March 28, 2026, 4:05 p.m.
Created at: March 27, 2026, 3:05 p.m.