Triple

T9561605
Position Surface form Disambiguated ID Type / Status
Subject Munji E230686 entity
Predicate hasAlternativeName P39 FINISHED
Object Munjī E806544 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: Munjī | Statement: [Munji, hasAlternativeName, Munjī]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munjī
Context triple: [Munji, hasAlternativeName, Munjī]
  • A. Munna
    Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
  • B. Munmun
    Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
  • C. Munjani chosen
    Munjani is an alternative name for the Munji language, an Eastern Iranian language spoken primarily in Afghanistan’s Munjan Valley.
  • D. Moni
    Moni is a small Greek island in the Saronic Gulf, known for its clear waters, pine forests, and free-roaming deer and peacocks.
  • E. Moni
    Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994d31e08190b139f5ad10d8ea31 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17900ae2c819087a83f6c74a59afc completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:03 p.m.