Triple
T35095763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nnamdi Azikiwe University Teaching Hospital |
E1012861
|
entity |
| Predicate | professionallyRecognizedAs |
P23182
|
FINISHED |
| Object | teaching hospital in Nigeria |
—
|
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: teaching hospital in Nigeria | Statement: [Nnamdi Azikiwe University Teaching Hospital, professionallyRecognizedAs, teaching hospital in Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionallyRecognizedAs Context triple: [Nnamdi Azikiwe University Teaching Hospital, professionallyRecognizedAs, teaching hospital in Nigeria]
-
A.
recognizesProfession
chosen
Indicates that one entity acknowledges or identifies another entity’s professional role or occupation as such.
-
B.
workRecognizedBy
Indicates that one entity’s work, contribution, or achievement has been formally acknowledged, honored, or credited by another entity.
-
C.
recognizedOccupationOf
Indicates that one entity is acknowledged or officially accepted as the occupation or professional role held by another entity.
-
D.
yearProfessionalismRecognized
Indicates the year in which an entity’s professional status, achievement, or qualification was formally recognized.
-
E.
hasProfessionalReputationFor
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:01 p.m.