Triple
T35321223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabale Regional Referral Hospital |
E1020043
|
entity |
| Predicate | hasReferralLevel |
P206932
|
FINISHED |
| Object | Regional referral hospital level |
—
|
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: Regional referral hospital level | Statement: [Kabale Regional Referral Hospital, hasReferralLevel, Regional referral hospital level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReferralLevel Context triple: [Kabale Regional Referral Hospital, hasReferralLevel, Regional referral hospital level]
-
A.
hasReferralRole
Indicates that an entity participates in a referral relationship by holding a specific role within that referral.
-
B.
affiliateLevelOf
Indicates the hierarchical rank or tier of an entity within an affiliate or partnership program.
-
C.
hasReferralRequirement
Indicates that one entity requires a formal referral from another entity before access, participation, or service can occur.
-
D.
loyaltyProgramTierOf
Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
-
E.
membershipLevelAbove
Indicates that one entity’s membership level is ranked higher or more privileged than another entity’s membership level.
- F. None of above. chosen
Provenance (4 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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.