Triple
T12129229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utrecht |
E288888
|
entity |
| Predicate | hasUniversityRankingRole |
P103545
|
FINISHED |
| Object | major Dutch university city |
—
|
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: major Dutch university city | Statement: [Utrecht, hasUniversityRankingRole, major Dutch university city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniversityRankingRole Context triple: [Utrecht, hasUniversityRankingRole, major Dutch university city]
-
A.
hasTimesHigherEducationRanking2024
Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
-
B.
universityRankContext
Indicates the contextual framework or criteria under which a university’s rank or ranking position is determined or interpreted.
-
C.
hasAcademicRank
Indicates that an entity holds a specific academic rank or title within an educational or research institution.
-
D.
hasARWURankingRange
Indicates that an entity is associated with a specific range of positions in the ARWU (Academic Ranking of World Universities) ranking system.
-
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. chosen
Provenance (4 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.