Triple

T23079044
Position Surface form Disambiguated ID Type / Status
Subject Phalguna E575416 entity
Predicate follows P134 FINISHED
Object Magha NE NERFINISHED

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: Magha | Statement: [Phalguna, follows, Magha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magha
Context triple: [Phalguna, follows, Magha]
  • A. Magha chosen
    Magha is the eleventh month of the traditional Hindu lunar calendar, typically falling in January–February and associated with various religious observances and festivals.
  • B. Vesākha
    Vesākha is the Buddhist festival commemorating the birth, enlightenment, and death (parinirvāṇa) of Gautama Buddha, observed on the full moon day of the Vesak month in many Asian countries.
  • C. Kartika month
    Kartika month is a sacred period in the Hindu lunar calendar, typically falling around October–November, marked by major festivals and religious observances.
  • D. Prasauni
    Prasauni is a settlement located in Madhesh Province in southeastern Nepal.
  • E. Jamadagnya
    Jamadagnya is another name for Parashurama, the axe-wielding warrior-sage and sixth avatar of the Hindu god Vishnu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c6572d88190afab0dfa960a85dd completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.