Triple

T2865771
Position Surface form Disambiguated ID Type / Status
Subject Vaisakhi E63433 entity
Predicate hasSymbol P129 FINISHED
Object Khanda E56042 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: Khanda | Statement: [Vaisakhi, hasSymbol, Khanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khanda
Context triple: [Vaisakhi, hasSymbol, Khanda]
  • A. Khanda chosen
    Khanda is the central emblem of Sikhism, featuring a double-edged sword flanked by two single-edged swords and encircled by a quoit, symbolizing divine power, unity, and the balance of spiritual and temporal authority.
  • B. Khorumi
    Khorumi is a dynamic Georgian war dance characterized by powerful, martial movements and formations that depict battle scenes and military pride.
  • C. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • D. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • E. Kaghan
    Kaghan is a scenic valley in Pakistan’s Khyber Pakhtunkhwa province, renowned for its lush landscapes, rivers, and popular tourist resorts.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbb7ed4819096ca65391077e2af completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da458ec8190ae07237d7e23b302 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.