Triple

T31727358
Position Surface form Disambiguated ID Type / Status
Subject Hôpital Universitaire de Mirebalais E809763 entity
Predicate servicesCost P5902 FINISHED
Object free of charge to patients LITERAL 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: free of charge to patients | Statement: [Hôpital Universitaire de Mirebalais, servicesCost, free of charge to patients]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servicesCost
Context triple: [Hôpital Universitaire de Mirebalais, servicesCost, free of charge to patients]
  • A. estimatedCost
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • B. programCost
    Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
  • C. costToUser chosen
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • D. costsProvision
    Indicates that providing a particular good, service, or resource requires incurring a specified cost.
  • E. listingCostLevel
    Indicates the relative price range or expense level associated with a particular listing.
  • F. None of above.

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_69f348e009c8819095d77df52c645b9c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: April 30, 2026, 11:20 p.m.