Triple
T10523030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Malaya |
E248221
|
entity |
| Predicate | hasQSWorldUniversityRankingCountry |
P40339
|
FINISHED |
| Object | top-ranked university in Malaysia |
—
|
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: top-ranked university in Malaysia | Statement: [University of Malaya, hasQSWorldUniversityRankingCountry, top-ranked university in Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQSWorldUniversityRankingCountry Context triple: [University of Malaya, hasQSWorldUniversityRankingCountry, top-ranked university in Malaysia]
-
A.
QSWorldUniversityRankingCategory
Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
-
B.
QSWorldUniversityRankingsStatus
chosen
Indicates the status or standing of an entity within the QS World University Rankings system.
-
C.
QSWorldUniversityRankingRange
Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
-
D.
universityRankContext
Indicates the contextual framework or criteria under which a university’s rank or ranking position is determined or interpreted.
-
E.
UCLARanking
Indicates a ranking relationship that orders entities based on their position or standing within the context of UCLA (e.g., programs, departments, or individuals associated with the university).
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e155b08190996325bf484ec55d |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:29 p.m.