Triple
T13194432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôpital d'instruction des armées Clermont-Tonnerre |
E314074
|
entity |
| Predicate | hasInfectionControlProgram |
P58392
|
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: [Hôpital d'instruction des armées Clermont-Tonnerre, hasInfectionControlProgram, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfectionControlProgram Context triple: [Hôpital d'instruction des armées Clermont-Tonnerre, hasInfectionControlProgram, yes]
-
A.
hasHealthProgram
chosen
Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
-
B.
hasPublicHealthInfrastructure
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
-
C.
hasBiosafetyLevel
Indicates that an entity (such as a facility, lab, or area) is assigned a specific biosafety level that defines the containment and safety measures required for handling biological agents there.
-
D.
haveJointCommission
Indicates that two or more entities share a formally established joint commission or committee between them.
-
E.
healthcareWorkerInfectionsApproximate
Indicates that the number of infections among healthcare workers is an approximate or estimated value rather than an exact count.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.