Triple

T7224100
Position Surface form Disambiguated ID Type / Status
Subject Centre Department E150333 entity
Predicate hasSettlement P1068 FINISHED
Object Mirebalais E232358 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: Mirebalais | Statement: [Centre Department, hasSettlement, Mirebalais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirebalais
Context triple: [Centre Department, hasSettlement, Mirebalais]
  • A. Mirebalais chosen
    Mirebalais is a town in Haiti’s Centre department known for hosting major public health and community development initiatives, including a prominent teaching hospital.
  • B. Bounoura
    Bounoura is a historic town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
  • C. Ouanaminthe
    Ouanaminthe is a border town in northeastern Haiti known for its busy cross-border trade with the Dominican Republic.
  • D. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • E. Vougy
    Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.