Triple
T38261379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 Abu Dhabi |
E1017936
|
entity |
| Predicate | degreeOffering |
P49
|
FINISHED |
| Object | no traditional 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: no traditional degrees | Statement: [42 Abu Dhabi, degreeOffering, no traditional degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOffering Context triple: [42 Abu Dhabi, degreeOffering, no traditional degrees]
-
A.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
B.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
-
C.
degreePrograms
Indicates a relationship where an institution or entity offers, manages, or is associated with specific academic degree programs.
-
D.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
E.
courseType
Indicates the classification or category of a course based on its nature, level, or instructional format.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.