Triple

T12771150
Position Surface form Disambiguated ID Type / Status
Subject Nanakshahi calendar E305248 entity
Predicate hasMonth P6433 FINISHED
Object Magh E114662 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: Magh | Statement: [Nanakshahi calendar, hasMonth, Magh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magh
Context triple: [Nanakshahi calendar, hasMonth, Magh]
  • A. Maghett
    Maghett is the surname of American Chicago blues guitarist and singer Magic Sam, born Samuel Gene Maghett.
  • B. Maghi chosen
    Maghi is a regional name for the Hindu harvest festival of Makar Sankranti, particularly observed in parts of North India.
  • C. Marag
    Marag is a dialect of the Isnag language spoken by the Isnag people in the northern Philippines.
  • D. Maghnia
    Maghnia is a town in northwestern Algeria near the Moroccan border, known as the birthplace of Algeria’s first president, Ahmed Ben Bella.
  • E. Melhagi
    Melhagi is a residential street located in the Vesturbær district of Reykjavík, Iceland.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.