Triple

T9421961
Position Surface form Disambiguated ID Type / Status
Subject Massylii E227173 entity
Predicate neighbor P350 FINISHED
Object Masaesyli E227174 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: Masaesyli | Statement: [Massylii, neighbor, Masaesyli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masaesyli
Context triple: [Massylii, neighbor, Masaesyli]
  • A. Masaesyli chosen
    Masaesyli was an ancient Berber kingdom in North Africa that preceded and formed part of what later became Numidia.
  • B. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • C. Maghnia
    Maghnia is a town in northwestern Algeria near the Moroccan border, known as the birthplace of Algeria’s first president, Ahmed Ben Bella.
  • D. Senhadja de Srair
    Senhadja de Srair are an Amazigh (Berber) ethnic group from the Rif region of northern Morocco, traditionally associated with the Senhadja de Srair language.
  • E. El Mokrani
    El Mokrani is a town and commune located within Bouira Province in northern Algeria.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107d290148190855b8d50eb80c591 completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:48 p.m.