Triple
T29715850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyantonde |
E751904
|
entity |
| Predicate | hospitalAdministeredBy |
P15635
|
FINISHED |
| Object | Uganda Ministry of Health |
—
|
NE NERFINISHED |
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: Uganda Ministry of Health | Statement: [Lyantonde, hospitalAdministeredBy, Uganda Ministry of Health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hospitalAdministeredBy Context triple: [Lyantonde, hospitalAdministeredBy, Uganda Ministry of Health]
-
A.
hospitalFunction
Indicates the specific medical or administrative role, service, or operational purpose that a hospital performs.
-
B.
hospitalLocation
Indicates the geographic place or address where a hospital is situated.
-
C.
hospitalEstablishedIn
Indicates that a hospital was founded, opened, or began operating in a specific year or time period.
-
D.
healthSystem
chosen
Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
-
E.
containsHospital
Indicates that one entity includes or encompasses a hospital within its boundaries or composition.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672dcd4b88190828b19990dfe6ed9 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:33 p.m.