Triple
T19714044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi’an Jiaotong-Liverpool University |
E473426
|
entity |
| Predicate | degreeLanguage |
P36232
|
FINISHED |
| Object | English-taught 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: English-taught degrees | Statement: [Xi’an Jiaotong-Liverpool University, degreeLanguage, English-taught degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeLanguage Context triple: [Xi’an Jiaotong-Liverpool University, degreeLanguage, English-taught degrees]
-
A.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
B.
degreeTheme
Indicates that one entity serves as the scale, extent, or intensity parameter by which the other entity’s property, action, or state is measured or qualified.
-
C.
historicallyDominantLanguageOfHigherEducationIn
Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
-
D.
hasLanguageOfStudy
Indicates that an entity studies or is engaged in learning a particular language.
-
E.
languageOfTeachings
chosen
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.