Triple

T10489360
Position Surface form Disambiguated ID Type / Status
Subject Masalit language E247373 entity
Predicate name P16 FINISHED
Object Masalit E247375 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: Masalit | Statement: [Masalit language, name, Masalit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masalit
Context triple: [Masalit language, name, Masalit]
  • A. Masalit people chosen
    The Masalit people are an ethnic group of the Darfur region in western Sudan and eastern Chad, known for their distinct culture and language within the Maban branch of the Nilo-Saharan family.
  • B. Mashal
    Mashal is the family name of Khaled Mashal, a prominent political leader of the Palestinian organization Hamas.
  • C. Mawlaik
    Mawlaik is a town in northwestern Myanmar’s Sagaing Region, situated along the Chindwin River and serving as a local administrative and trading center.
  • D. Maitlis
    Maitlis is the surname of Emily Maitlis, a prominent British journalist and former lead presenter of BBC Two’s flagship news program Newsnight.
  • E. Mismaloya
    Mismaloya is a small coastal village and beach resort area near Puerto Vallarta in Mexico, known for its scenic bay, lush jungle surroundings, and role as a filming location for classic movies.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.