Triple

T7352053
Position Surface form Disambiguated ID Type / Status
Subject Navagraha Temple E169524 entity
Predicate hasDeity P5606 FINISHED
Object Mangala
Mangala is the Hindu deity associated with the planet Mars, symbolizing strength, courage, and martial energy in Vedic astrology.
 E659119 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: Mangala | Statement: [Navagraha Temple, hasDeity, Mangala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mangala
Context triple: [Navagraha Temple, hasDeity, Mangala]
  • A. Marsi
    The Marsi were an ancient Italic tribe of central Italy, known for their role in the Social War against Rome and their association with the worship of the god Mars.
  • B. Mangal
    Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
  • C. Le Mars
    Le Mars is a small city in northwestern Iowa known as the "Ice Cream Capital of the World" for its large ice cream production industry.
  • D. Sphere of Mars
    The Sphere of Mars is the celestial realm in Dante Alighieri’s Paradiso where the souls of holy warriors and martyrs reside, symbolizing courage and militant faith.
  • E. MARS
    MARS is a prominent benchmark suite used in computer architecture and systems research, often serving as a standard workload for evaluating and comparing processor and memory system performance.
  • 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: Mangala
Triple: [Navagraha Temple, hasDeity, Mangala]
Generated description
Mangala is the Hindu deity associated with the planet Mars, symbolizing strength, courage, and martial energy in Vedic astrology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mangala
Target entity description: Mangala is the Hindu deity associated with the planet Mars, symbolizing strength, courage, and martial energy in Vedic astrology.
  • A. Marsi
    The Marsi were an ancient Italic tribe of central Italy, known for their role in the Social War against Rome and their association with the worship of the god Mars.
  • B. Mangal
    Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
  • C. Le Mars
    Le Mars is a small city in northwestern Iowa known as the "Ice Cream Capital of the World" for its large ice cream production industry.
  • D. Sphere of Mars
    The Sphere of Mars is the celestial realm in Dante Alighieri’s Paradiso where the souls of holy warriors and martyrs reside, symbolizing courage and militant faith.
  • E. MARS
    MARS is a prominent benchmark suite used in computer architecture and systems research, often serving as a standard workload for evaluating and comparing processor and memory system performance.
  • 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.