Triple
T10190791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osgoode Hall Law School |
E238026
|
entity |
| Predicate | offersDegree |
P49
|
FINISHED |
| Object | JD |
E541478
|
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: JD | Statement: [Osgoode Hall Law School, offersDegree, JD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JD Context triple: [Osgoode Hall Law School, offersDegree, JD]
-
A.
JD
chosen
The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
-
B.
Jud
Jud is a masculine given name, often used as a short form of names like Judson or Judah.
-
C.
JK
JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
-
D.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
E.
JJ
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7eb1148190a2d175163685e233 |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317c0c22881909ed388721e80bafd |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:13 p.m.