Triple

T15157522
Position Surface form Disambiguated ID Type / Status
Subject Barbacoan languages E362116 entity
Predicate hasMember P10 FINISHED
Object Tsafiki E741179 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: Tsafiki | Statement: [Barbacoan languages, hasMember, Tsafiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsafiki
Context triple: [Barbacoan languages, hasMember, Tsafiki]
  • A. Tsafiki chosen
    Tsafiki is the indigenous language spoken by the Tsáchila people of Ecuador, belonging to the Barbacoan language family.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. Tsaangi
    Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
  • D. Itezhi-Tezhi
    Itezhi-Tezhi is a town in Zambia known for its proximity to the Itezhi-Tezhi Dam and Kafue National Park.
  • E. Timbaki
    Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060c62b08190bcdbd912d011d1ba completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff87b6c819097f5cc99b2d75fb6 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.