Triple
T25720396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Akbar Khan |
E644974
|
entity |
| Predicate | placeOfEducationWork |
P86973
|
FINISHED |
| Object | Ali Akbar College of Music, Kolkata |
—
|
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: Ali Akbar College of Music, Kolkata | Statement: [Ali Akbar Khan, placeOfEducationWork, Ali Akbar College of Music, Kolkata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfEducationWork Context triple: [Ali Akbar Khan, placeOfEducationWork, Ali Akbar College of Music, Kolkata]
-
A.
educationLocation
chosen
Indicates the place or institution where an entity received education or underwent formal learning.
-
B.
workInstitution
Indicates that an entity is employed by or works at a particular institution.
-
C.
educationField
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
D.
hasFurtherEducationInstitution
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 9:58 p.m.