Triple
T7027360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubland campus |
E163181
|
entity |
| Predicate | primaryInstitutionTypeHosted |
P186
|
FINISHED |
| Object | faculties of the University of Würzburg |
—
|
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: faculties of the University of Würzburg | Statement: [Hubland campus, primaryInstitutionTypeHosted, faculties of the University of Würzburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstitutionTypeHosted Context triple: [Hubland campus, primaryInstitutionTypeHosted, faculties of the University of Würzburg]
-
A.
hostsInstitution
chosen
Indicates that one entity serves as the hosting location or organizing body for an institution.
-
B.
primaryInstitutionSupported
Indicates that one institution serves as the main or principal organization providing support to another entity.
-
C.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
D.
hasPrimaryInstitutionType
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.