Triple
T26525386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUI |
E670673
|
entity |
| Predicate | hasRecognizedCollege |
P85965
|
FINISHED |
| Object | Royal College of Surgeons in Ireland |
—
|
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: Royal College of Surgeons in Ireland | Statement: [NUI, hasRecognizedCollege, Royal College of Surgeons in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecognizedCollege Context triple: [NUI, hasRecognizedCollege, Royal College of Surgeons in Ireland]
-
A.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
B.
collegeRecognition
chosen
Indicates that a college formally acknowledges, honors, or grants status or distinction to an entity.
-
C.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
-
D.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
E.
hasCollegeService
Indicates that an entity provides or is associated with a service offered by a college or higher-education institution.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: April 27, 2026, 1:31 a.m.