Triple
T35329457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIA Desgenettes |
E1020277
|
entity |
| Predicate | hasInfectionControlPrograms |
P150442
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [HIA Desgenettes, hasInfectionControlPrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfectionControlPrograms Context triple: [HIA Desgenettes, hasInfectionControlPrograms, yes]
-
A.
hasInfectionControlMeasures
chosen
Indicates that appropriate procedures or actions are in place to prevent, reduce, or control the spread of infection.
-
B.
hasPrecautionaryFacility
Indicates that an entity is equipped with or associated with a facility intended to provide precautionary or protective measures against potential risks or hazards.
-
C.
hasHealthProgram
Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
-
D.
hasIsolationRooms
Indicates that the entity includes one or more rooms specifically designated and equipped for isolation purposes.
-
E.
hasPublicHealthInfrastructure
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: May 3, 2026, 4:03 p.m.