Triple

T17822179
Position Surface form Disambiguated ID Type / Status
Subject Muna people E445012 entity
Predicate ethnonym P4709 FINISHED
Object Muna 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: Muna | Statement: [Muna people, ethnonym, Muna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muna
Context triple: [Muna people, ethnonym, Muna]
  • A. Muna chosen
    Muna is an island in Indonesia known for its location in Southeast Sulawesi and its distinctive local culture and limestone landscapes.
  • B. Muna
    Muna is a town in Mexico’s Yucatán state known as a gateway to the Puuc archaeological region and nearby Maya sites such as Uxmal.
  • C. Mudonna
    Mudonna is the costumed pig mascot of the St. Paul Saints minor league baseball team, known for her playful antics and fan interaction at games.
  • D. Mama Nadi
    Mama Nadi is the tough, pragmatic brothel owner at the center of Lynn Nottage’s play "Ruined," embodying the moral ambiguities and survival strategies of women in a war-torn Congo.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.