Triple

T9206573
Position Surface form Disambiguated ID Type / Status
Subject Sama people E220994 entity
Predicate subgroup P10 FINISHED
Object Sama Siasi E769634 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: Sama Siasi | Statement: [Sama people, subgroup, Sama Siasi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sama Siasi
Context triple: [Sama people, subgroup, Sama Siasi]
  • A. Tiyo Soga
    Tiyo Soga was a pioneering 19th-century Xhosa Presbyterian minister, intellectual, and the first black South African to be ordained in Scotland, known for his influential role in Christianity and education in South Africa.
  • B. Sama
    Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
  • C. Sama Ubian chosen
    Sama Ubian is a subgroup of the maritime Sama-Bajau ethnic communities of Southeast Asia, traditionally known for seafaring and coastal livelihoods.
  • D. Assin Foso
    Assin Foso is a prominent town in Ghana that serves as a commercial and administrative hub within the country’s Central Region.
  • E. Beni Isguen
    Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077808ee48190be6b58a4b38f3e3d completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:26 p.m.