Triple

T9206572
Position Surface form Disambiguated ID Type / Status
Subject Sama people E220994 entity
Predicate subgroup P10 FINISHED
Object Sama Bangingi E769632 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 Bangingi | Statement: [Sama people, subgroup, Sama Bangingi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sama Bangingi
Context triple: [Sama people, subgroup, Sama Bangingi]
  • A. Sama Bangingiʼ chosen
    Sama Bangingiʼ are a maritime Sama-Bajau subgroup of the southern Philippines and nearby regions, traditionally known for seafaring, fishing, and coastal trading.
  • B. Uma Mbatangu
    Uma Mbatangu is a traditional Sumbanese house type characterized by its tall peaked thatched roof and elevated wooden structure, commonly found in the Waikabubak area of Indonesia.
  • C. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • D. Ngozi Olejeme
    Ngozi Olejeme is a Nigerian politician and businesswoman known for her roles in public service and involvement in national development initiatives.
  • E. Gambiri Kati
    Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
  • 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_69d065e09fbc81908159b386038b3d73 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:26 p.m.