Triple
T33636061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lund University Library |
E861695
|
entity |
| Predicate | supportsFaculty |
P102842
|
FINISHED |
| Object | Faculty of Medicine, Lund University |
E851338
|
NE 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: Faculty of Medicine, Lund University | Statement: [Lund University Library, supportsFaculty, Faculty of Medicine, Lund University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFaculty Context triple: [Lund University Library, supportsFaculty, Faculty of Medicine, Lund University]
-
A.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
B.
hasFacultyIn
chosen
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
-
C.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
-
D.
usedByFaculty
Indicates that something is utilized or employed by faculty members in carrying out their roles or activities.
-
E.
sharesFacultyWith
Indicates that two academic institutions or departments have at least one faculty member in common or on staff at both.
- F. None of above.
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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3611b3b7b08190a2ac32c1f193c562 |
completed | June 20, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:42 a.m.