Triple

T11303487
Position Surface form Disambiguated ID Type / Status
Subject Maritime Region of Togo E267654 entity
Predicate hasSettlement P1068 FINISHED
Object Tsévié E116440 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: Tsévié | Statement: [Maritime Region of Togo, hasSettlement, Tsévié]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsévié
Context triple: [Maritime Region of Togo, hasSettlement, Tsévié]
  • A. Tsévié chosen
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • B. Tchambuli
    Tchambuli refers to an indigenous group from Papua New Guinea whose gender roles and social organization were famously analyzed by anthropologist Margaret Mead as contrasting sharply with Western norms.
  • C. Mandji
    Mandji is a town located within Ngounié Province in southwestern Gabon.
  • D. Wagadou
    Wagadou is the historical name for the Ghana Empire, a powerful West African trading state that flourished between the 6th and 13th centuries.
  • E. Gambiri
    Gambiri is an alternative name for the Tregami language spoken by the Tregami people in 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a57366081908a05fc52c5d4074c completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.