Triple
T30015386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turku campus |
E762580
|
entity |
| Predicate | partOfAcademicCity |
P198311
|
FINISHED |
| Object | Turku university area |
—
|
NE NERFINISHED |
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: Turku university area | Statement: [Turku campus, partOfAcademicCity, Turku university area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAcademicCity Context triple: [Turku campus, partOfAcademicCity, Turku university area]
-
A.
containsUniversityCity
Indicates that a given region or area includes within its boundaries a city that hosts a university.
-
B.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
C.
hasUniversityCityReputation
Indicates that a university holds a particular reputation or standing within a specific city.
-
D.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
E.
isUniversitySatelliteTownOf
Indicates that a town primarily exists to serve and support a nearby university, functioning as its dependent or satellite community.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
| PDg | Predicate description generation | batch_69fedd5915588190bd884054e4be0414 |
completed | May 9, 2026, 7:08 a.m. |
Created at: April 29, 2026, 6:45 p.m.