Triple
T20503919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QS World University Rankings |
E503376
|
entity |
| Predicate | usesSurveyOf |
P140334
|
FINISHED |
| Object | academics |
—
|
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: academics | Statement: [QS World University Rankings, usesSurveyOf, academics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSurveyOf Context triple: [QS World University Rankings, usesSurveyOf, academics]
-
A.
usesSurveyPoint
Indicates that an entity relies on or references a specific survey point as a positional or measurement basis in its activity or relationship.
-
B.
coSurveyedWith
Indicates that two or more entities participated together in the same survey activity or data-collection effort.
-
C.
surveyed
Indicates that one entity systematically examined, questioned, or measured another entity or group to gather information or assess a situation.
-
D.
surveyedFor
Indicates that one entity has been examined, questioned, or assessed in order to gather information specifically about another entity or topic.
-
E.
surveyedIn
Indicates that an entity was included as part of the scope or coverage of a particular survey or data-collection effort.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc3afc08190a3c6c8cc2682f0e5 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.