Triple
T13974748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abubakar Tafawa Balewa University Teaching Hospital |
E336156
|
entity |
| Predicate | hasLevelOfCare |
P98032
|
FINISHED |
| Object | tertiary care |
—
|
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: tertiary care | Statement: [Abubakar Tafawa Balewa University Teaching Hospital, hasLevelOfCare, tertiary care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelOfCare Context triple: [Abubakar Tafawa Balewa University Teaching Hospital, hasLevelOfCare, tertiary care]
-
A.
hasFacilityLevel
chosen
Indicates the degree or tier of capability, service, or infrastructure that a particular facility possesses.
-
B.
hasEmergencyCare
Indicates that an entity provides or is equipped with emergency medical care services for another entity or individuals.
-
C.
requiresCare
Indicates that one entity depends on another to provide care, attention, or maintenance for its proper functioning or well-being.
-
D.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
E.
isAcuteCareFacility
Indicates that the entity functions as a healthcare facility providing short-term, intensive medical treatment for patients with severe or urgent conditions.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.