Triple
T35686926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIA Robert Picqué |
E1031173
|
entity |
| Predicate | providesMedicalCareTo |
P44704
|
FINISHED |
| Object | armed forces personnel |
—
|
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: armed forces personnel | Statement: [HIA Robert Picqué, providesMedicalCareTo, armed forces personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesMedicalCareTo Context triple: [HIA Robert Picqué, providesMedicalCareTo, armed forces personnel]
-
A.
providesCareDuring
Indicates that one entity delivers care, assistance, or support to another entity throughout a specific period or event.
-
B.
treatsPatientsFrom
Indicates that a healthcare provider gives medical treatment or services to patients originating from a particular location or group.
-
C.
knownForTreatmentOf
Indicates that an entity is recognized or notable for providing treatment or medical care for a particular condition, disease, or type of patient.
-
D.
hasEmergencyCare
Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
-
E.
focusesOnMedicalCare
chosen
Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4:05 p.m.