Triple
T23494309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tufts University central administration |
E571659
|
entity |
| Predicate | includesOffice |
P1268
|
FINISHED |
| Object | Office of University Counsel |
—
|
NE NERFINISHED |
How this triple was built (3 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: Office of University Counsel | Statement: [Tufts University central administration, includesOffice, Office of University Counsel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office of University Counsel Context triple: [Tufts University central administration, includesOffice, Office of University Counsel]
-
A.
Department of Law
The Department of Law is the primary academic unit of Dr. Ram Manohar Lohiya National Law University responsible for teaching, research, and training in legal studies and the broader field of law.
-
B.
Department of Law
The Department of Law at Tor Vergata University of Rome is an academic unit dedicated to legal education and research within the university’s broader social sciences and humanities framework.
-
C.
Department of Law
The Department of Law at Kyoto University is a core academic unit specializing in legal education and research within one of Japan’s leading national universities.
-
D.
Department of Law
The Department of Law at the University of Ferrara is an academic unit dedicated to legal education and research within the Italian higher education system.
-
E.
Department of Law
The Department of Law is an academic unit specializing in legal education and research within the School of Business, Economics and Law.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Office of University Counsel Target entity description: The Office of University Counsel is Tufts University's in-house legal office, providing advice, representation, and guidance on legal and policy matters affecting the institution.
-
A.
Department of Law
The Department of Law is the primary academic unit of Dr. Ram Manohar Lohiya National Law University responsible for teaching, research, and training in legal studies and the broader field of law.
-
B.
Department of Law
The Department of Law at Tor Vergata University of Rome is an academic unit dedicated to legal education and research within the university’s broader social sciences and humanities framework.
-
C.
Department of Law
The Department of Law at Kyoto University is a core academic unit specializing in legal education and research within one of Japan’s leading national universities.
-
D.
Department of Law
The Department of Law at Himachal Pradesh University is an academic unit offering legal education and research programs in various branches of law.
-
E.
Department of Law
The Department of Law at the University of Catania is an academic unit dedicated to legal education and research, offering degree programs and scholarly activities in various fields of law.
- F. None of above. chosen
Provenance (2 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7de1ab88190b6c2441c63a99713 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.