Triple

T11431542
Position Surface form Disambiguated ID Type / Status
Subject Hazur Sahib Nanded E270894 entity
Predicate dailyPractice P47276 FINISHED
Object Ardas E873915 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: Ardas | Statement: [Hazur Sahib Nanded, dailyPractice, Ardas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardas
Context triple: [Hazur Sahib Nanded, dailyPractice, Ardas]
  • A. Ardas chosen
    Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
  • B. Dadu’a
    Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
  • C. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • D. Gudakesha
    Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
  • E. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c30d788190b0c939b33de89277 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8e212088190b611333d5de05757 completed April 20, 2026, 5:25 a.m.
Created at: April 8, 2026, 9:35 p.m.