Triple

T13886106
Position Surface form Disambiguated ID Type / Status
Subject Nitnem E333846 entity
Predicate includesPrayer P1393 FINISHED
Object Anand Sahib E896450 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: Anand Sahib | Statement: [Nitnem, includesPrayer, Anand Sahib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anand Sahib
Context triple: [Nitnem, includesPrayer, Anand Sahib]
  • A. Anand Sahib chosen
    Anand Sahib is a key Sikh prayer composed by Guru Amar Das that expresses spiritual bliss and is recited daily in Sikh liturgy.
  • B. Sukhmani Sahib
    Sukhmani Sahib is a revered Sikh scripture composed by Guru Arjan Dev Ji, consisting of devotional hymns that promote inner peace, spiritual wisdom, and remembrance of God.
  • C. Nankana Sahib
    Nankana Sahib is a historic city in Pakistan revered as one of Sikhism’s holiest sites, centered around the birthplace and major shrine of Guru Nanak.
  • D. Guru Granth Sahib
    Guru Granth Sahib is the central holy scripture of Sikhism, revered as the eternal living Guru and containing the teachings of Sikh Gurus and various saints in poetic form.
  • E. Khadur Sahib
    Khadur Sahib is a historic town in Punjab, India, revered as an important Sikh religious center closely associated with Guru Angad Dev Ji.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c0b6848190b67051e0ccbdb707 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:15 p.m.