Triple

T9621776
Position Surface form Disambiguated ID Type / Status
Subject Hôpital Universitaire de Mirebalais E232358 entity
Predicate locatedIn P40 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: [Hôpital Universitaire de Mirebalais, locatedIn, Mirebalais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirebalais
Context triple: [Hôpital Universitaire de Mirebalais, locatedIn, 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad505588190b8c81ce09f1904ec completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797386d88190bc1d9309ecc1b4fb completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:10 p.m.