Triple

T4523275
Position Surface form Disambiguated ID Type / Status
Subject Maha Meru E103315 entity
Predicate hasLanguageName P15 FINISHED
Object महामेरु (Sanskrit) E103315 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: महामेरु (Sanskrit) | Statement: [Maha Meru, hasLanguageName, महामेरु (Sanskrit)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: महामेरु (Sanskrit)
Context triple: [Maha Meru, hasLanguageName, महामेरु (Sanskrit)]
  • A. Maha Meru chosen
    Maha Meru is the three-dimensional sacred geometric form of the Sri Yantra, revered in Hindu and Tantric traditions as a powerful representation of the cosmos and divine energy.
  • B. Sagarmatha – Nepali
    Sagarmatha is the Nepali name for Mount Everest, the world’s highest mountain peak in the Himalayas.
  • C. Mahameru
    Mahameru is the revered local name for Mount Semeru, the highest and one of the most active volcanoes on the island of Java in Indonesia.
  • D. Gangapurna
    Gangapurna is a prominent glaciated peak in the Annapurna Himalayas of north-central Nepal, popular among high-altitude climbers and trekkers.
  • E. Kailash
    Kailash is an Indian social reformer and Nobel Peace Prize laureate renowned for his decades-long campaign against child labor and exploitation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:02 p.m.