Triple
T987285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heriot-Watt University |
E21306
|
entity |
| Predicate | grantsQualification |
P7591
|
FINISHED |
| Object | bachelor’s degrees |
—
|
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: bachelor’s degrees | Statement: [Heriot-Watt University, grantsQualification, bachelor’s degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsQualification Context triple: [Heriot-Watt University, grantsQualification, bachelor’s degrees]
-
A.
qualifiesFrom
Indicates that one entity gains an official status, capability, or eligibility as a result of successfully completing or meeting the requirements of another entity.
-
B.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
C.
awardsQualificationTo
chosen
Indicates that one entity grants or confers a qualification, certification, or credential to another entity.
-
D.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
E.
eligibilityCriteria
Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a7754c8190a10ba0587bd8323d |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.